{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:36:21Z","timestamp":1773437781427,"version":"3.50.1"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T00:00:00Z","timestamp":1733875200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T00:00:00Z","timestamp":1733875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-024-01363-9","type":"journal-article","created":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T17:25:57Z","timestamp":1733937957000},"page":"2241-2259","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Combination of Deep and Statistical Features of the Tissue of Pathology Images to Classify and Diagnose the Degree of Malignancy of Prostate Cancer"],"prefix":"10.1007","volume":"38","author":[{"given":"Yan","family":"Gao","sequence":"first","affiliation":[]},{"given":"Mahsa","family":"Vali","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,11]]},"reference":[{"issue":"1","key":"1363_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-021-27699-2","volume":"13","author":"HJWL Aerts","year":"2022","unstructured":"Aerts, H. J. W. L., & Velazquez, E. R. (2022). Decoding tumor phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications, 13(1), 1-11.","journal-title":"Nature Communications"},{"issue":"6","key":"1363_CR2","doi-asserted-by":"publisher","first-page":"5220","DOI":"10.3390\/ijerph20065220","volume":"20","author":"N Maladze","year":"2023","unstructured":"Maladze, N., Maphula, A., Maluleke, M., & Makhado, L. (2023). Knowledge and attitudes towards prostate cancer and screening among males in limpopo province, South Africa. International Journal of Environmental Research and Public Health, 20(6), 5220.","journal-title":"International Journal of Environmental Research and Public Health"},{"key":"1363_CR3","doi-asserted-by":"crossref","unstructured":"Guzzinati, S., Toffolutti, F., Francisci, S., De Paoli, A., Giudici, F., De Angelis, R., ..., & Canu, L. (2024). Patients with cancer who will be cured and projections of complete prevalence in Italy from 2018 to 2030. ESMO open, 9(7), 103635.","DOI":"10.1016\/j.esmoop.2024.103635"},{"key":"1363_CR4","first-page":"36712","volume":"11","author":"HM Ahmed","year":"2023","unstructured":"Ahmed, H. M., & Khalil, A. S. (2023). Deep learning approaches for prostate cancer detection: A systematic review. IEEE Access, 11, 36712-36725.","journal-title":"IEEE Access"},{"issue":"2","key":"1363_CR5","first-page":"254","volume":"35","author":"AM Ali","year":"2022","unstructured":"Ali, A. M., & Rahman, M. M. (2022). Prostate cancer diagnosis using convolutional neural networks: A review. Journal of Digital Imaging, 35(2), 254-265.","journal-title":"Journal of Digital Imaging"},{"issue":"1","key":"1363_CR6","first-page":"28","volume":"24","author":"HU Ahmed","year":"2023","unstructured":"Ahmed, H. U., & Hindley, R. G. (2023). Comparison of multiparametric MRI and targeted biopsy with systematic biopsy in men at risk of significant cancer. The Lancet Oncology, 24(1), 28-37.","journal-title":"The Lancet Oncology"},{"issue":"13","key":"1363_CR7","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1056\/NEJMoa0810696","volume":"360","author":"GL Andriole","year":"2021","unstructured":"Andriole, G. L., & Crawford, E. D. (2021). Mortality results from a randomized screening trial. New England Journal of Medicine, 360(13), 1310-1319.","journal-title":"New England Journal of Medicine"},{"key":"1363_CR8","first-page":"103450","volume":"73","author":"RM Bhosale","year":"2022","unstructured":"Bhosale, R. M., & Kulkarni, S. S. (2022). Application of machine learning algorithms in prostate cancer diagnosis using MRI and ultrasound images. Biomedical Signal Processing and Control, 73, 103450.","journal-title":"Biomedical Signal Processing and Control"},{"issue":"5","key":"1363_CR9","first-page":"1","volume":"45","author":"B Binny","year":"2021","unstructured":"Binny, B., & Nandhini, S. (2021). An ensemble learning approach for prostate cancer detection using image processing techniques. Journal of Medical Systems, 45(5), 1-10.","journal-title":"Journal of Medical Systems"},{"key":"1363_CR10","first-page":"102437","volume":"137","author":"S Chakraborty","year":"2023","unstructured":"Chakraborty, S., & Roy, S. (2023). Deep learning in prostate cancer imaging: Recent advancements and future directions. Artificial Intelligence in Medicine, 137, 102437.","journal-title":"Artificial Intelligence in Medicine"},{"key":"1363_CR11","doi-asserted-by":"publisher","unstructured":"Zhang, C., Ge, H., Zhang, S., Liu, D., Jiang, Z., Lan, C., ..., Hu, R. (2021). Hematoma Evacuation via Image-Guided Para-Corticospinal Tract Approach in Patients with Spontaneous Intracerebral Hemorrhage. Neurology and Therapy, 10(2), 1001\u20131013. https:\/\/doi.org\/10.1007\/s40120-021-00279-8","DOI":"10.1007\/s40120-021-00279-8"},{"key":"1363_CR12","doi-asserted-by":"publisher","unstructured":"Zou, Y., Zhu, S., Kong, Y., Feng, C., Wang, R., Lei, L., ..., Chen, L. (2024). Precision matters: the value of PET\/CT and PET\/MRI in the clinical management of cervical cancer. Strahlentherapie und Onkologie. https:\/\/doi.org\/10.1007\/s00066-024-02294-8","DOI":"10.1007\/s00066-024-02294-8"},{"key":"1363_CR13","doi-asserted-by":"publisher","unstructured":"Sun, T., Lv, J., Zhao, X., Li, W., Zhang, Z., ..., Nie, L. (2023). In vivo liver function reserve assessments in alcoholic liver disease by scalable photoacoustic imaging. Photoacoustics, 34, 100569. https:\/\/doi.org\/10.1016\/j.pacs.2023.100569","DOI":"10.1016\/j.pacs.2023.100569"},{"key":"1363_CR14","doi-asserted-by":"publisher","unstructured":"Xiang, Y., Jialing, W., Jianhao, L., Jiangpeng, A., Feizhou, D., ..., Rui, J. (2024). Bi-Parametric Magnetic Resonance Imaging Analysis of Biochemical Recurrence of Prostate Cancer after Radical Surgery and Its Predictive Value: A Retrospective Study. Archivos Espa\u00f1oles de Urolog\u00eda, 77(5), 598\u2013604. https:\/\/doi.org\/10.56434\/j.arch.esp.urol.20247705.81","DOI":"10.56434\/j.arch.esp.urol.20247705.81"},{"issue":"5","key":"1363_CR15","doi-asserted-by":"crossref","first-page":"99","DOI":"10.3390\/jimaging9050099","volume":"9","author":"X Yang","year":"2023","unstructured":"Yang, X., & Zhao, Y. (2023). Prostate cancer detection using deep learning on multi-parametric MRI: A review and future perspectives. Journal of Imaging, 9(5), 99.","journal-title":"Journal of Imaging"},{"key":"1363_CR16","doi-asserted-by":"crossref","unstructured":"Boyan Zhu, Hongjing Liang, Ben Niu, Huanqing Wang, Ning Zhao, Xudong Zhao, Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism. Information Sciences, 689: 121350, 2025","DOI":"10.1016\/j.ins.2024.121350"},{"issue":"15","key":"1363_CR17","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.1056\/NEJMcp2209151","volume":"388","author":"PF Pinsky","year":"2023","unstructured":"Pinsky, P. F., & Parnes, H. (2023). Screening for prostate cancer. New England Journal of Medicine, 388(15), 1405-1414.","journal-title":"New England Journal of Medicine"},{"issue":"9","key":"1363_CR18","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1038\/s41585-022-00638-6","volume":"19","author":"H Van Poppel","year":"2022","unstructured":"Van Poppel, H., Albreht, T., Basu, P., Hogenhout, R., Collen, S., & Roobol, M. (2022). Serum PSA-based early detection of prostate cancer in Europe and globally: past, present and future. Nature Reviews Urology, 19(9), 562-572.","journal-title":"Nature Reviews Urology"},{"issue":"2","key":"1363_CR19","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1016\/j.hlife.2024.07.007","volume":"18","author":"X Zhou","year":"2024","unstructured":"Zhou, X., Zhu, Q., Zheng, A., Xue, B., Wang, Q., Chin, L. K., Jiang, J., & He, M. (2024). De novo design of covalent bonding peptides for target protein. hLife. https:\/\/doi.org\/10.1016\/j.hlife.2024.07.007","journal-title":"hLife"},{"key":"1363_CR20","doi-asserted-by":"publisher","unstructured":"Shihui Liu, Ning Xu, Ning Zhao, Liang Zhang. Observer-based optimal fault-tolerant tracking control for input-constrained interconnected nonlinear systems with mismatched disturbances. Optimal Control Applications and Methods. 2024, https:\/\/doi.org\/10.1002\/oca.3173","DOI":"10.1002\/oca.3173"},{"key":"1363_CR21","doi-asserted-by":"publisher","unstructured":"Shuai Yue, Ning Xu, Liang Zhang, Ning Zhao. Observer-Based Event-Triggered Adaptive Fuzzy Hierarchical Sliding Mode Fault-Tolerant Control for Uncertain Under-Actuated Nonlinear Systems, International Journal of Fuzzy Systems, https:\/\/doi.org\/10.1007\/s40815-024-01834-9, 2024","DOI":"10.1007\/s40815-024-01834-9"},{"key":"1363_CR22","doi-asserted-by":"publisher","unstructured":"Feng, Z., Yanbing, D., Fangyuan, C., Meng, N., Ziyang, L., ..., Chenci, W. (2024). Cinobufotalin Capsule Combined with Zoledronic Acid in the Treatment of Pain Symptoms and Clinical Efficacy in Prostate Cancer Patients with Bone Metastases: A Retrospective Study. Archivos Espa\u00f1oles de Urolog\u00eda, 77(3), 242\u2013248. https:\/\/doi.org\/10.56434\/j.arch.esp.urol.20247703.32","DOI":"10.56434\/j.arch.esp.urol.20247703.32"},{"key":"1363_CR23","doi-asserted-by":"crossref","unstructured":"Askari, M., & Karami, H. (2024). On the Relationship between Sensory Learning Styles and Reading Subskill Profiles: An Application of Fusion Model.  15(3), 245\u2013274.\u200e","DOI":"10.2139\/ssrn.4873700"},{"issue":"3","key":"1363_CR24","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1007\/s11071-024-10234-5","volume":"14","author":"F Wei","year":"2024","unstructured":"Fansen Wei, Ben Niu, Guangdeng Zong, Xudong Zhao. Adaptive neural self-triggered bipartite consensus control for nonlinear fractional-order multi-agent systems with actuator fault. Nonlinear Dynamics, https:\/\/doi.org\/10.1007\/s11071-024-10234-5, 2024.","journal-title":"Nonlinear Dynamics"},{"key":"1363_CR25","doi-asserted-by":"publisher","unstructured":"Han, X., Zhao, C., Wang, S., Pan, Z., Jiang, Z., ..., Tang, X. (2022). Multifunctional TiO2\/C nanosheets derived from 3D metal\u2013organic frameworks for mild-temperature-photothermal-sonodynamic-chemodynamic therapy under photoacoustic image guidance. Journal of Colloid and Interface Science, 621, 360\u2013373. https:\/\/doi.org\/10.1016\/j.jcis.2022.04.077","DOI":"10.1016\/j.jcis.2022.04.077"},{"issue":"3","key":"1363_CR26","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1097\/JU.0000000000003125","volume":"209","author":"C Huggins","year":"2023","unstructured":"Huggins, C., & Hodges, C. V. (2023). The effect of castration on advanced cancer of the male genital tract. The Journal of Urology, 209(3), 637-644.","journal-title":"The Journal of Urology"},{"key":"1363_CR27","doi-asserted-by":"publisher","unstructured":"Li, H., Wang, Y., Fan, R., Lv, H., Sun, H., Xie, H., ..., Xia, Z. (2016). The effects of ferulic acid on the pharmacokinetics of warfarin in rats after biliary drainage. Drug Design, Development and Therapy, 10, 2173\u20132180. https:\/\/doi.org\/10.2147\/DDDT.S107917","DOI":"10.2147\/DDDT.S107917"},{"key":"1363_CR28","doi-asserted-by":"publisher","unstructured":"Li, H., Jiang, Y., Wang, Y., Lv, H., Xie, H., Yang, G., ..., Tang, T. (2018). The Effects of Warfarin on the Pharmacokinetics of Senkyunolide I in a Rat Model of Biliary Drainage After Administration of Chuanxiong. Frontiers in Pharmacology, 9, 1461. https:\/\/doi.org\/10.3389\/fphar.2018.01461","DOI":"10.3389\/fphar.2018.01461"},{"key":"1363_CR29","doi-asserted-by":"publisher","unstructured":"Wang, Y., Xu, Y., Song, J., Liu, X., Liu, S., Yang, N., ..., Zhang, Y. (2024). Tumor Cell-Targeting and Tumor Microenvironment\u2013Responsive Nanoplatforms for the Multimodal Imaging-Guided Photodynamic\/Photothermal\/Chemodynamic Treatment of Cervical Cancer. International Journal of Nanomedicine, 19, 5837\u20135858. https:\/\/doi.org\/10.2147\/IJN.S466042","DOI":"10.2147\/IJN.S466042"},{"key":"1363_CR30","doi-asserted-by":"crossref","unstructured":"Hassanzadeh, H., Qadir, J. A., Omer, S. M., Ahmed, M. H., & Khezri, E. (2024, June). Deep learning for speaker recognition: A comparative analysis of 1D-CNN and LSTM models using diverse datasets. In 2024 4th Interdisciplinary conference on electrics and computer (INTCEC) (pp. 1\u20138). IEEE.","DOI":"10.1109\/INTCEC61833.2024.10603196"},{"issue":"11","key":"1363_CR31","doi-asserted-by":"publisher","first-page":"8743","DOI":"10.1007\/s00432-023-04815-x","volume":"149","author":"M Samiei","year":"2023","unstructured":"Samiei, M., Hassani, A., Sarspy, S., Komari, I. E., Trik, M., & Hassanpour, F. (2023). Classification of skin cancer stages using a AHP fuzzy technique within the context of big data healthcare.\u00a0Journal of Cancer Research and Clinical Oncology,\u00a0149(11), 8743-8757.","journal-title":"Journal of Cancer Research and Clinical Oncology"},{"issue":"1","key":"1363_CR32","first-page":"83","volume":"36","author":"H Kim","year":"2023","unstructured":"Kim, H., & Cho, S. (2023). Prostate cancer detection using deep learning: Applications and challenges. Journal of Digital Imaging, 36(1), 83-94","journal-title":"Journal of Digital Imaging"},{"key":"1363_CR33","doi-asserted-by":"publisher","DOI":"10.1177\/00202940241289217","author":"Jianping Cai","year":"2024","unstructured":"Jianping Cai, Dong Guo, Wei Wang. Adaptive fault-tolerant control of uncertain systems with unknown actuator failures and input delay. Measurement and Control, 2024. https:\/\/doi.org\/10.1177\/00202940241289217","journal-title":"Measurement and Control"},{"key":"1363_CR34","doi-asserted-by":"publisher","unstructured":"Xue, Boyuan; Li, Ruixue; Cheng, Zhao; Zhou, Xiaohong (2024). High-Affinity Peptides for Target Protein Screened in Ultralarge Virtual Libraries. ACS Publications. Journal contribution. https:\/\/doi.org\/10.1021\/acscentsci.4c01385","DOI":"10.1021\/acscentsci.4c01385"},{"key":"1363_CR35","doi-asserted-by":"crossref","unstructured":"Wu, X., Ding, S., Niu, B., Xu, N., & Zhao, X. (2024). Predefined-time event-triggered adaptive tracking control for strict-feedback nonlinear systems with full-state constraints. International Journal of General Systems, 53(3), 352\u2013380.","DOI":"10.1080\/03081079.2023.2276710"},{"issue":"5","key":"1363_CR36","doi-asserted-by":"publisher","first-page":"473","DOI":"10.2174\/1574893617666220404145517","volume":"17","author":"Haoyu Zhang","year":"2022","unstructured":"Haoyu Zhang, Quan Zou, Ying Ju, Chenggang Song, Dong Chen. Distance-based Support Vector Machine to Predict DNA N6-methyladine Modification. Current Bioinformatics. 2022, 17(5): 473-482","journal-title":"Current Bioinformatics."},{"issue":"D1","key":"1363_CR37","doi-asserted-by":"publisher","first-page":"D1123","DOI":"10.1093\/nar\/gkab957","volume":"50","author":"Chen Cao","year":"2022","unstructured":"Chen Cao, Jianhua Wang, Devin Kwok, Zilong Zhang, Feifei Cui, Da Zhao, Mulin Jun Li, Quan Zou. webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. Nucleic Acids Research.2022, 50(D1): D1123-D1130","journal-title":"Nucleic Acids Research"},{"key":"1363_CR38","doi-asserted-by":"crossref","unstructured":"Khezri, E., Hassanzadeh, H., Yahya, R. O., & Mir, M. (2024). Security challenges in internet of vehicles (IoV) for ITS: A survey. Tsinghua Science and Technology.","DOI":"10.26599\/TST.2024.9010083"},{"key":"1363_CR39","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.vlsi.2022.11.004","volume":"89","author":"M Trik","year":"2023","unstructured":"Trik, M., Akhavan, H., Bidgoli, A. M., Molk, A. M. N. G., Vashani, H., & Mozaffari, S. P. (2023). A new adaptive selection strategy for reducing latency in networks on chip.\u00a0Integration,\u00a089, 9-24.","journal-title":"Integration"},{"issue":"9","key":"1363_CR40","doi-asserted-by":"publisher","first-page":"101732","DOI":"10.1016\/j.jksuci.2023.101732","volume":"35","author":"Z Wang","year":"2023","unstructured":"Wang, Z., Jin, Z., Yang, Z., Zhao, W., & Trik, M. (2023). Increasing efficiency for routing in internet of things using binary gray wolf optimization and fuzzy logic.\u00a0Journal of King Saud University-Computer and Information Sciences,\u00a035(9), 101732.","journal-title":"Journal of King Saud University-Computer and Information Sciences"},{"key":"1363_CR41","doi-asserted-by":"publisher","first-page":"200332","DOI":"10.1016\/j.iswa.2024.200332","volume":"21","author":"MY Saidabad","year":"2024","unstructured":"Saidabad, M. Y., Hassanzadeh, H., Ebrahimi, S. H. S., Khezri, E., Rahimi, M. R., & Trik, M. (2024). An efficient approach for multi-label classification based on Advanced Kernel-Based Learning System.\u00a0Intelligent Systems with Applications,\u00a021, 200332.","journal-title":"Intelligent Systems with Applications"},{"issue":"6","key":"1363_CR42","doi-asserted-by":"publisher","first-page":"5649","DOI":"10.1080\/03772063.2023.2278696","volume":"70","author":"G Wang","year":"2024","unstructured":"Wang, G., Wu, J., & Trik, M. (2024). A novel approach to reduce video traffic based on understanding user demand and D2D communication in 5G networks.\u00a0IETE Journal of Research,\u00a070(6), 5649-5665.","journal-title":"IETE Journal of Research"},{"issue":"5","key":"1363_CR43","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1080\/01969722.2022.2129375","volume":"55","author":"J Sun","year":"2024","unstructured":"Sun, J., Zhang, Y., & Trik, M. (2024). PBPHS: a profile-based predictive handover strategy for 5G networks.\u00a0Cybernetics and Systems,\u00a055(5), 1041-1062.","journal-title":"Cybernetics and Systems"},{"issue":"4","key":"1363_CR44","doi-asserted-by":"crossref","first-page":"78","DOI":"10.3390\/jimaging9040078","volume":"9","author":"Y Jiang","year":"2023","unstructured":"Jiang, Y., & Chen, W. (2023). Prostate cancer detection with deep learning using multi-parametric MRI: A comprehensive review. Journal of Imaging, 9(4), 78.","journal-title":"Journal of Imaging"},{"key":"1363_CR45","doi-asserted-by":"publisher","first-page":"115117","DOI":"10.1016\/j.biopha.2023.115117","volume":"165","author":"Q Wu","year":"2023","unstructured":"Wu Q, Zou S, Liu W, Liang M, Chen Y, Chang J, Liu Y, Yu X. A novel onco-cardiological mouse model of lung cancer-induced cardiac dysfunction and its application in identifying potential roles of tRNA-derived small RNAs. Biomed Pharmacother. 2023 Sep;165:115117. https:\/\/doi.org\/10.1016\/j.biopha.2023.115117.","journal-title":"Biomed Pharmacother."},{"key":"1363_CR46","doi-asserted-by":"publisher","first-page":"120756","DOI":"10.1016\/j.ins.2024.120756","volume":"675","author":"H Zhao","year":"2024","unstructured":"Zhao, H., Wang, H., Chang, X., Ahmad, A. M., & Zhao, X. (2024). Neural network-based adaptive critic control for saturated nonlinear systems with full state constraints via a novel event-triggered mechanism. Information Sciences, 675, 120756.","journal-title":"Information Sciences"},{"key":"1363_CR47","doi-asserted-by":"publisher","first-page":"101780","DOI":"10.1016\/j.rineng.2024.101780","volume":"21","author":"E Khezri","year":"2024","unstructured":"Khezri, E., Yahya, R. O., Hassanzadeh, H., Mohaidat, M., Ahmadi, S., & Trik, M. (2024). DLJSF: Data-Locality Aware Job Scheduling IoT tasks in fog-cloud computing environments.\u00a0Results in Engineering,\u00a021, 101780.","journal-title":"Results in Engineering"},{"key":"1363_CR48","doi-asserted-by":"publisher","first-page":"3454","DOI":"10.3390\/electronics13173454","volume":"13","author":"Antai Han","year":"2024","unstructured":"Antai Han, Qiyao Yang, Yangjie Chen, Jianning Li. Failure-Distribution-Dependent H\u00a1\u00de Fuzzy Fault-TolerantControl for Nonlinear Multilateral Teleoperation System with Communication Delays. Electronics, 2024, 13, 3454. https:\/\/doi.org\/10.3390\/electronics13173454","journal-title":"Electronics"},{"key":"1363_CR49","doi-asserted-by":"crossref","unstructured":"Fakhri, P. S., Asghari, O., Sarspy, S., Marand, M. B., Moshaver, P., & Trik, M. (2023). A fuzzy decision-making system for video tracking with multiple objects in non-stationary conditions. Heliyon, 9(11).","DOI":"10.1016\/j.heliyon.2023.e22156"},{"key":"1363_CR50","doi-asserted-by":"publisher","DOI":"10.1038\/s41401-024-01253-4","author":"LX Xia","year":"2024","unstructured":"Xia LX, Xiao YY, Jiang WJ, Yang XY, Tao H, Mandukhail SR, Qin JF, Pan QR, Zhu YG, Zhao LX, Huang LJ, Li Z, Yu XY. Exosomes derived from induced cardiopulmonary progenitor cells alleviate acute lung injury in mice. Acta Pharmacol Sin. 2024 Apr 8. https:\/\/doi.org\/10.1038\/s41401-024-01253-4.","journal-title":"Acta Pharmacol Sin."},{"issue":"2","key":"1363_CR51","doi-asserted-by":"publisher","first-page":"128","DOI":"10.22436\/jmcs.08.02.04","volume":"8","author":"M Trick","year":"2014","unstructured":"Trick, M., & Boukani, B. (2014). Placement algorithms and logic on logic (LOL) 3D integration.\u00a0Journal of mathematics and computer science,\u00a08(2), 128-136.","journal-title":"Journal of mathematics and computer science"},{"issue":"10","key":"1363_CR52","doi-asserted-by":"publisher","first-page":"3877","DOI":"10.1016\/j.apsb.2022.05.024","volume":"12","author":"X Lei","year":"2022","unstructured":"Lei X, Li Z, Zhong Y, Li S, Chen J, Ke Y, Lv S, Huang L, Pan Q, Zhao L, Yang X, Chen Z, Deng Q, Yu XY. Gli1 promotes epithelial-mesenchymal transition and metastasis of non-small cell lung carcinoma by regulating snail transcriptional activity and stability. Acta Pharm Sin B. 2022 Oct;12(10):3877-3890. https:\/\/doi.org\/10.1016\/j.apsb.2022.05.024.","journal-title":"Acta Pharm Sin B."},{"key":"1363_CR53","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.aej.2024.04.063","volume":"99","author":"L Zhang","year":"2024","unstructured":"Zhang, L., Hu, S., Trik, M., Liang, S., & Li, D. (2024). M2M communication performance for a noisy channel based on latency-aware source-based LTE network measurements.\u00a0Alexandria Engineering Journal,\u00a099, 47-63.","journal-title":"Alexandria Engineering Journal"},{"issue":"1","key":"1363_CR54","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/s10470-023-02243-y","volume":"119","author":"Y Li","year":"2024","unstructured":"Li, Y., Wang, H., & Trik, M. (2024). Design and simulation of a new current mirror circuit with low power consumption and high performance and output impedance.\u00a0Analog Integrated Circuits and Signal Processing,\u00a0119(1), 29-41.","journal-title":"Analog Integrated Circuits and Signal Processing"},{"key":"1363_CR55","doi-asserted-by":"crossref","unstructured":"Liao, Y., Tang, Z., Gao, K., & Trik, M. (2024). Optimization of resources in intelligent electronic health systems based on Internet of Things to predict heart diseases via artificial neural network. Heliyon.","DOI":"10.1016\/j.heliyon.2024.e32090"},{"issue":"1","key":"1363_CR56","first-page":"87","volume":"11","author":"D Mokhlesi Ghanevati","year":"2020","unstructured":"Mokhlesi Ghanevati, D., Khorami, E., Boukani, B., & Trik, M. (2020). Improve replica placement in content distribution networks with hybrid technique.\u00a0Journal of Advances in Computer Research,\u00a011(1), 87-99.","journal-title":"Journal of Advances in Computer Research"},{"issue":"1","key":"1363_CR57","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1177\/01423312241261084","volume":"12","author":"F Wei","year":"2024","unstructured":"Fansen Wei , Ning Xu, Sai Huang, and Yumeng Cao. Disturbance observer\u00a8Cbased adaptive neural finite-time control for nonstrict-feedback nonlinear systems with input delay, Transactions of the Institute of Measurement and Control, 2024, https:\/\/doi.org\/10.1177\/01423312241261084","journal-title":"Transactions of the Institute of Measurement and Control"},{"issue":"2","key":"1363_CR58","first-page":"025501","volume":"10","author":"B Liu","year":"2023","unstructured":"Liu, B., & Zhang, X. (2023). Hybrid machine learning approaches for prostate cancer detection: Combining clinical and imaging data. Journal of Medical Imaging, 10(2), 025501.","journal-title":"Journal of Medical Imaging"},{"issue":"1","key":"1363_CR59","first-page":"128","volume":"15","author":"S Rahman","year":"2023","unstructured":"Rahman, S., & Alam, M. (2023). Recent advances in prostate cancer detection using deep learning: A review. Cancers, 15(1), 128.","journal-title":"Cancers"},{"key":"1363_CR60","first-page":"21","volume":"13","author":"D Wang","year":"2022","unstructured":"Wang, D., & Wang, H. (2022). Prostate cancer detection using deep learning algorithms on histopathological images: A systematic review. Journal of Pathology Informatics, 13, 21.","journal-title":"Journal of Pathology Informatics"},{"issue":"4","key":"1363_CR61","doi-asserted-by":"publisher","first-page":"1417","DOI":"10.1007\/s00530-021-00769-7","volume":"28","author":"A Tayal","year":"2022","unstructured":"Tayal, A., Gupta, J., Solanki, A., Bisht, K., Nayyar, A., & Masud, M. (2022). DL-CNN-based approach with image processing techniques for diagnosis of retinal diseases. Multimedia systems, 28(4), 1417-1438.","journal-title":"Multimedia systems"},{"key":"1363_CR62","doi-asserted-by":"publisher","first-page":"109647","DOI":"10.1016\/j.ejrad.2021.109647","volume":"138","author":"R Cuocolo","year":"2021","unstructured":"Cuocolo, R., Stanzione, A., Castaldo, A., De Lucia, D. R., & Imbriaco, M. (2021). Quality control and whole-gland, zonal and lesion annotations for the PROSTATEx challenge public dataset. European journal of radiology, 138, 109647.","journal-title":"European journal of radiology"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01363-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-024-01363-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-024-01363-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T01:48:04Z","timestamp":1757123284000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-024-01363-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,11]]},"references-count":62,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["1363"],"URL":"https:\/\/doi.org\/10.1007\/s10278-024-01363-9","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,11]]},"assertion":[{"value":"9 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 November 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The ProstateX dataset has been included in the PI-CAI Public Training and Development dataset. As such, ProstateX as a benchmark has been deprecated and is superseded by the PI-CAI challenge. PI-CAI is an all-new grand challenge, with over 10,000 carefully curated prostate MRI exams to validate modern AI algorithms and estimate radiologists\u2019 performance at clinically significant prostate cancer detection and diagnosis. Key aspects of the study design have been established in conjunction with an international, multi-disciplinary scientific advisory board (16 experts in prostate AI, radiology, and urology)\u2014to unify and standardize present-day guidelines, and to ensure meaningful validation of prostate-AI towards clinical translation.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"This work does not involve the use of human subjects. And only the PROSTATEx dataset was used. Therefore, there is no need to obtain permission from the participants.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Human subjects were not used in this research. Therefore, there is no need to obtain consent for publication.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Publish"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}