{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:22:25Z","timestamp":1775744545643,"version":"3.50.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T00:00:00Z","timestamp":1752019200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T00:00:00Z","timestamp":1752019200000},"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":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-025-04170-3","type":"journal-article","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T09:27:58Z","timestamp":1752139678000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Patho-AI: A Perceptive Breast Cancer Identification and Classification Using Deep Learning Methods Integrated with Explainable AI"],"prefix":"10.1007","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3414-6270","authenticated-orcid":false,"given":"Saket Kumar","family":"Singh","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4994-4489","authenticated-orcid":false,"given":"K. Sridhar","family":"Patnaik","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,9]]},"reference":[{"key":"4170_CR1","doi-asserted-by":"publisher","first-page":"598","DOI":"10.4103\/IJMR.IJMR_1821_22","volume":"156","author":"K Sathishkumar","year":"2022","unstructured":"Sathishkumar K, Chaturvedi M, Das P, Stephen S, Mathur P. Cancer incidence estimates for 2022 & projection for 2025: result from National Cancer registry programme, India. Indian J Med Res. 2022;156:598. https:\/\/doi.org\/10.4103\/IJMR.IJMR_1821_22.","journal-title":"Indian J Med Res"},{"key":"4170_CR2","unstructured":"Breast cancer - Symptoms and causes - Mayo Clinic. n.d. https:\/\/www.mayoclinic.org\/diseases-conditions\/breast-cancer\/symptoms-causes\/syc-20352470. Accessed February 26, 2024."},{"key":"4170_CR3","unstructured":"Breast cancer. WHO. n.d. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/breast-cancer. Accessed May 18, 2024."},{"key":"4170_CR4","unstructured":"Cancer Facts & Figs, American Cancer Society. 2024|. 2024. https:\/\/www.cancer.org\/research\/cancer-facts-statistics\/all-cancer-facts-figures\/2024-cancer-facts-figures.html. Accessed February 26, 2024."},{"key":"4170_CR5","unstructured":"Cancer Facts & Figs. 2022| American Cancer Society. 2022. https:\/\/www.cancer.org\/research\/cancer-facts-statistics\/all-cancer-facts-figures\/cancer-facts-figures-2022.html. Accessed October 12, 2022."},{"key":"4170_CR6","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/CAAC.21492","volume":"68","author":"F Bray","year":"2018","unstructured":"Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394\u2013424. https:\/\/doi.org\/10.3322\/CAAC.21492.","journal-title":"CA Cancer J Clin"},{"key":"4170_CR7","doi-asserted-by":"publisher","unstructured":"Lee J, Kang BJ, Kim SH, Park GE. Evaluation of Computer-Aided Detection (CAD) in Screening Automated Breast Ultrasound Based on Characteristics of CAD Marks and False-Positive Marks. Diagnostics 2022, Vol 12, Page 583. 2022;12:583. https:\/\/doi.org\/10.3390\/DIAGNOSTICS12030583","DOI":"10.3390\/DIAGNOSTICS12030583"},{"key":"4170_CR8","doi-asserted-by":"publisher","first-page":"165779","DOI":"10.1109\/ACCESS.2020.3021343","volume":"8","author":"T Mahmood","year":"2020","unstructured":"Mahmood T, Li J, Pei Y, Akhtar F, Imran A, Ur Rehman K. A brief survey on breast cancer diagnostic with deep learning schemes using multi-image modalities. IEEE Access. 2020;8:165779\u2013809. https:\/\/doi.org\/10.1109\/ACCESS.2020.3021343.","journal-title":"IEEE Access"},{"key":"4170_CR9","doi-asserted-by":"publisher","unstructured":"Xie J, Liu R, Luttrell J, Zhang C. Deep learning based analysis of histopathological images of breast cancer. Front Genet. 2019;10. https:\/\/doi.org\/10.3389\/FGENE.2019.00080\/FULL.","DOI":"10.3389\/FGENE.2019.00080\/FULL"},{"key":"4170_CR10","doi-asserted-by":"publisher","first-page":"1400","DOI":"10.1109\/TBME.2014.2303852","volume":"61","author":"M Veta","year":"2014","unstructured":"Veta M, Pluim JPW, Van Diest PJ, Viergever MA. Breast cancer histopathology image analysis: A review. IEEE Trans Biomed Eng. 2014;61:1400\u201311. https:\/\/doi.org\/10.1109\/TBME.2014.2303852.","journal-title":"IEEE Trans Biomed Eng"},{"key":"4170_CR11","first-page":"37","volume":"49","author":"H Lawson","year":"2000","unstructured":"Lawson H, Henson R, Bobo J, Kaeser M. Implementing recommendation for early detection of breast and cervical cancer among low-income women. MMWR recommendations and reports: morbidity and mortality weekly report recommendations and reports \/. Centers Disease Control. 2000;49:37\u201355.","journal-title":"Centers Disease Control"},{"key":"4170_CR12","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1016\/J.INS.2019.08.072","volume":"508","author":"A Kumar","year":"2020","unstructured":"Kumar A, Singh SK, Saxena S, Lakshmanan K, Sangaiah AK, Chauhan H, et al. Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer. Inf Sci (N Y). 2020;508:405\u201321. https:\/\/doi.org\/10.1016\/J.INS.2019.08.072.","journal-title":"Inf Sci (N Y)"},{"key":"4170_CR13","doi-asserted-by":"publisher","first-page":"1927","DOI":"10.1016\/S0140-6736(18)30458-6","volume":"391","author":"ML Wilson","year":"2018","unstructured":"Wilson ML, Fleming KA, Kuti MA, Looi LM, Lago N, Ru K. Access to pathology and laboratory medicine services: a crucial gap. Lancet. 2018;391:1927\u201338. https:\/\/doi.org\/10.1016\/S0140-6736(18)30458-6.","journal-title":"Lancet"},{"key":"4170_CR14","doi-asserted-by":"publisher","first-page":"1723","DOI":"10.5858\/ARPA.2013-0200-OA","volume":"137","author":"SJ Robboy","year":"2013","unstructured":"Robboy SJ, Weintraub S, Horvath AE, Jensen BW, Alexander CB, Fody EP, et al. Pathologist workforce in the united states: I. Development of a predictive model to examine factors influencing supply. Arch Pathol Lab Med. 2013;137:1723\u201332. https:\/\/doi.org\/10.5858\/ARPA.2013-0200-OA.","journal-title":"Arch Pathol Lab Med"},{"key":"4170_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/mp.13891","volume":"47","author":"X Jia","year":"2020","unstructured":"Jia X, Ren L, Cai J. Clinical implementation of AI technologies will require interpretable AI models. Med Phys. 2020;47:1\u20134. https:\/\/doi.org\/10.1002\/mp.13891.","journal-title":"Med Phys"},{"key":"4170_CR16","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1146\/annurev-bioeng-071516-044442","volume":"19","author":"D Shen","year":"2017","unstructured":"Shen D, Wu G, Suk H-I. Deep learning in medical image analysis. Annu Rev Biomed Eng. 2017;19:221\u201348. https:\/\/doi.org\/10.1146\/annurev-bioeng-071516-044442.","journal-title":"Annu Rev Biomed Eng"},{"key":"4170_CR17","doi-asserted-by":"publisher","unstructured":"Singh LK, Khanna M, Singh R. An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin diagnostic breast Cancer dataset case. Multimed Tools Appl. 2024;1\u201366. https:\/\/doi.org\/10.1007\/S11042-024-18473-9\/TABLES\/26.","DOI":"10.1007\/S11042-024-18473-9\/TABLES\/26"},{"key":"4170_CR18","doi-asserted-by":"publisher","first-page":"115","DOI":"10.3233\/IDT-200049","volume":"15","author":"S Thawkar","year":"2021","unstructured":"Thawkar S, Singh LK, Khanna M. Multi-objective techniques for feature selection and classification in digital mammography. Intell Decis Technol. 2021;15:115\u201325. https:\/\/doi.org\/10.3233\/IDT-200049.","journal-title":"Intell Decis Technol"},{"key":"4170_CR19","doi-asserted-by":"publisher","first-page":"1696","DOI":"10.1002\/IMA.22889","volume":"33","author":"S Thawkar","year":"2023","unstructured":"Thawkar S, Katta V, Parashar AR, Singh LK, Khanna M. Breast cancer: A hybrid method for feature selection and classification in digital mammography. Int J Imaging Syst Technol. 2023;33:1696\u2013712. https:\/\/doi.org\/10.1002\/IMA.22889.","journal-title":"Int J Imaging Syst Technol"},{"key":"4170_CR20","doi-asserted-by":"publisher","first-page":"104968","DOI":"10.1016\/J.COMPBIOMED.2021.104968","volume":"139","author":"S Thawkar","year":"2021","unstructured":"Thawkar S, Sharma S, Khanna M, Singh Lkumar. Breast cancer prediction using a hybrid method based on butterfly optimization algorithm and ant Lion optimizer. Comput Biol Med. 2021;139:104968. https:\/\/doi.org\/10.1016\/J.COMPBIOMED.2021.104968.","journal-title":"Comput Biol Med"},{"key":"4170_CR21","doi-asserted-by":"publisher","unstructured":"Eldin SN, Hamdy JK, Adnan GT, Hossam M, Elmasry N, Mohammed A. Deep Learning Approach for Breast Cancer Diagnosis from Microscopy Biopsy Images. 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2021. 2021;216\u201322. https:\/\/doi.org\/10.1109\/MIUCC52538.2021.9447653","DOI":"10.1109\/MIUCC52538.2021.9447653"},{"key":"4170_CR22","doi-asserted-by":"publisher","unstructured":"Rafiq A, Chursin A, Awad Alrefaei W, Rashed Alsenani T, Aldehim G, Abdel Samee N et al. Detection and Classification of Histopathological Breast Images Using a Fusion of CNN Frameworks. Diagnostics 2023, Vol 13, Page 1700. 2023;13:1700. https:\/\/doi.org\/10.3390\/DIAGNOSTICS13101700","DOI":"10.3390\/DIAGNOSTICS13101700"},{"key":"4170_CR23","doi-asserted-by":"publisher","unstructured":"Zakareya S, Izadkhah H, Karimpour J. A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images. Diagnostics 2023, Vol 13, Page. 1944. 2023;13:1944. https:\/\/doi.org\/10.3390\/DIAGNOSTICS13111944","DOI":"10.3390\/DIAGNOSTICS13111944"},{"key":"4170_CR24","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/J.IJIN.2023.02.001","volume":"4","author":"B Asadi","year":"2023","unstructured":"Asadi B, Memon Q. Efficient breast cancer detection via cascade deep learning network. Int J Intell Networks. 2023;4:46\u201352. https:\/\/doi.org\/10.1016\/J.IJIN.2023.02.001.","journal-title":"Int J Intell Networks"},{"key":"4170_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/S42979-022-01536-9\/TABLES\/9","volume":"4","author":"N Aidossov","year":"2023","unstructured":"Aidossov N, Zarikas V, Zhao Y, Mashekova A, Ng EYK, Mukhmetov O, et al. An integrated intelligent system for breast Cancer detection at early stages using IR images and machine learning methods with explainability. SN Comput Sci. 2023;4:1\u201316. https:\/\/doi.org\/10.1007\/S42979-022-01536-9\/TABLES\/9.","journal-title":"SN Comput Sci"},{"key":"4170_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/S44196-023-00397-1\/TABLES\/9","volume":"17","author":"TR Mahesh","year":"2024","unstructured":"Mahesh TR, Thakur A, Gupta M, Sinha DK, Mishra KK, Venkatesan VK, et al. Transformative breast Cancer diagnosis using CNNs with optimized ReduceLROnPlateau and early stopping enhancements. Int J Comput Intell Syst. 2024;17:1\u201318. https:\/\/doi.org\/10.1007\/S44196-023-00397-1\/TABLES\/9.","journal-title":"Int J Comput Intell Syst"},{"key":"4170_CR27","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1109\/IWECAI55315.2022.00081","volume":"384","author":"D Liu","year":"2022","unstructured":"Liu D, Wang W, Wu X, Yang J. EfficientNetv2 model for breast Cancer histopathological image classification. Proc\u2013 2022 3rd Int Conf Electron Communication Artif Intell IWECAI 2022. 2022;384:7. https:\/\/doi.org\/10.1109\/IWECAI55315.2022.00081.","journal-title":"Proc\u2013 2022 3rd Int Conf Electron Communication Artif Intell IWECAI 2022"},{"key":"4170_CR28","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/978-981-15-7804-5_32\/COVER","volume":"694","author":"A Seemendra","year":"2021","unstructured":"Seemendra A, Singh R, Singh S. Breast Cancer classification using transfer learning. Lecture Notes Electr Eng. 2021;694:425\u201336. https:\/\/doi.org\/10.1007\/978-981-15-7804-5_32\/COVER.","journal-title":"Lecture Notes Electr Eng"},{"key":"4170_CR29","doi-asserted-by":"publisher","unstructured":"Jaganathan D, Balasubramaniam S, Sureshkumar V, Dhanasekaran S. Revolutionizing Breast Cancer Diagnosis: A Concatenated Precision through Transfer Learning in Histopathological Data Analysis. Diagnostics 2024, Vol 14, Page 422. 2024;14:422. https:\/\/doi.org\/10.3390\/DIAGNOSTICS14040422","DOI":"10.3390\/DIAGNOSTICS14040422"},{"key":"4170_CR30","doi-asserted-by":"publisher","first-page":"426920","DOI":"10.3389\/FGENE.2019.00080\/BIBTEX","volume":"10","author":"J Xie","year":"2019","unstructured":"Xie J, Liu R, Luttrell J, Zhang C. Deep learning based analysis of histopathological images of breast cancer. Front Genet. 2019;10:426920. https:\/\/doi.org\/10.3389\/FGENE.2019.00080\/BIBTEX.","journal-title":"Front Genet"},{"key":"4170_CR31","doi-asserted-by":"publisher","first-page":"105152","DOI":"10.1016\/J.BSPC.2023.105152","volume":"86","author":"A Maleki","year":"2023","unstructured":"Maleki A, Raahemi M, Nasiri H. Breast cancer diagnosis from histopathology images using deep neural network and XGBoost. Biomed Signal Process Control. 2023;86:105152. https:\/\/doi.org\/10.1016\/J.BSPC.2023.105152.","journal-title":"Biomed Signal Process Control"},{"key":"4170_CR32","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1109\/EMBC48229.2022.9871809","volume":"2022\u2013July","author":"B Gheflati","year":"2021","unstructured":"Gheflati B, Rivaz H. Vision transformer for classification of breast ultrasound images. Proc Annual Int Conf IEEE Eng Med Biology Soc EMBS. 2021;2022\u2013July:480\u20133. https:\/\/doi.org\/10.1109\/EMBC48229.2022.9871809.","journal-title":"Proc Annual Int Conf IEEE Eng Med Biology Soc EMBS"},{"key":"4170_CR33","doi-asserted-by":"publisher","first-page":"929755","DOI":"10.3389\/FPHAR.2022.929755\/BIBTEX","volume":"13","author":"W Wang","year":"2022","unstructured":"Wang W, Jiang R, Cui N, Li Q, Yuan F, Xiao Z. Semi-supervised vision transformer with adaptive token sampling for breast cancer classification. Front Pharmacol. 2022;13:929755. https:\/\/doi.org\/10.3389\/FPHAR.2022.929755\/BIBTEX.","journal-title":"Front Pharmacol"},{"key":"4170_CR34","doi-asserted-by":"publisher","unstructured":"Ayana G, Choe SW, BUViTNet. Breast Ultrasound Detection via Vision Transformers. Diagnostics 2022, Vol 12, Page 2654. 2022;12:2654. https:\/\/doi.org\/10.3390\/DIAGNOSTICS12112654","DOI":"10.3390\/DIAGNOSTICS12112654"},{"key":"4170_CR35","doi-asserted-by":"publisher","unstructured":"Saad M, Ullah M, Afridi H, Cheikh FA, Sajjad M, BreastUS. Vision Transformer for Breast Cancer Classification Using Breast Ultrasound Images. Proceedings\u2013\u200916th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2022. 2022;246\u201353. https:\/\/doi.org\/10.1109\/SITIS57111.2022.00027","DOI":"10.1109\/SITIS57111.2022.00027"},{"key":"4170_CR36","doi-asserted-by":"publisher","first-page":"6467","DOI":"10.1007\/S00521-023-09364-5\/TABLES\/12","volume":"36","author":"NM Hassan","year":"2024","unstructured":"Hassan NM, Hamad S, Mahar K. YOLO-based CAD framework with ViT transformer for breast mass detection and classification in CESM and FFDM images. Neural Comput Appl. 2024;36:6467\u201396. https:\/\/doi.org\/10.1007\/S00521-023-09364-5\/TABLES\/12.","journal-title":"Neural Comput Appl"},{"key":"4170_CR37","doi-asserted-by":"publisher","first-page":"105515","DOI":"10.1016\/J.BSPC.2023.105515","volume":"88","author":"K Ghuge","year":"2024","unstructured":"Ghuge K, Saravanan DD, SRMADNet. Swin ResUnet3+-based mammogram image segmentation and heuristic adopted multi-scale attention based densenet for breast cancer detection. Biomed Signal Process Control. 2024;88:105515. https:\/\/doi.org\/10.1016\/J.BSPC.2023.105515.","journal-title":"Biomed Signal Process Control"},{"key":"4170_CR38","doi-asserted-by":"publisher","first-page":"105755","DOI":"10.1016\/J.BSPC.2023.105755","volume":"89","author":"C Gao","year":"2024","unstructured":"Gao C, Sun Q, Zhu W, Zhang L, Zhang J, Liu B, et al. Transformer based multiple instance learning for WSI breast cancer classification. Biomed Signal Process Control. 2024;89:105755. https:\/\/doi.org\/10.1016\/J.BSPC.2023.105755.","journal-title":"Biomed Signal Process Control"},{"key":"4170_CR39","doi-asserted-by":"publisher","unstructured":"Khater T, Hussain A, Mahmoud S, Yasen S. Explainable AI for Breast Cancer Detection: A LIME-Driven Approach. Proceedings - International Conference on Developments in ESystems Engineering, DeSE. 2023;540\u20135. https:\/\/doi.org\/10.1109\/DESE60595.2023.10469341","DOI":"10.1109\/DESE60595.2023.10469341"},{"key":"4170_CR40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3308446","author":"T Khater","year":"2023","unstructured":"Khater T, Hussain A, Bendardaf R, Talaat IM, Tawfik H, Ansari S, et al. An explainable artificial intelligence model for the classification of breast Cancer. IEEE Access. 2023. https:\/\/doi.org\/10.1109\/ACCESS.2023.3308446.","journal-title":"IEEE Access"},{"key":"4170_CR41","doi-asserted-by":"publisher","unstructured":"Alelyani T, Alshammari MM, Almuhanna A, Asan O. Explainable Artificial Intelligence in Quantifying Breast Cancer Factors: Saudi Arabia Context. Healthcare 2024, Vol 12, Page 1025. 2024;12:1025. https:\/\/doi.org\/10.3390\/HEALTHCARE12101025","DOI":"10.3390\/HEALTHCARE12101025"},{"key":"4170_CR42","doi-asserted-by":"publisher","first-page":"2023","DOI":"10.5281\/ZENODO.8014197","volume":"5","author":"FAU Imouokhome","year":"2023","unstructured":"Imouokhome FAU, Ehimiyein OG, Chete FO. Diagnosis and interpretation of breast Cancer using explainable artificial intelligence. NIPES -. J Sci Technol Res. 2023;5:2023\u2013102. https:\/\/doi.org\/10.5281\/ZENODO.8014197.","journal-title":"J Sci Technol Res"},{"key":"4170_CR43","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/J.MEDIA.2019.05.010","volume":"56","author":"G Aresta","year":"2019","unstructured":"Aresta G, Ara\u00fajo T, Kwok S, Chennamsetty SS, Safwan M, Alex V, et al. Grand challenge on breast cancer histology images. Med Image Anal. 2019;56:122\u201339. https:\/\/doi.org\/10.1016\/J.MEDIA.2019.05.010.","journal-title":"Med Image Anal"},{"key":"4170_CR44","unstructured":"Simonyan K, Zisserman A. Very deep convolutional networks for Large-Scale image recognition. CoRR. 2015. abs\/1409.1556."},{"key":"4170_CR45","doi-asserted-by":"publisher","unstructured":"Szegedy C, Ioffe S, Vanhoucke V, Alemi A. Inception-v4, Inception-ResNet and the impact of residual connections on learning. AAAI Conf Artif Intell. 2016;31. https:\/\/doi.org\/10.1609\/aaai.v31i1.11231.","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"4170_CR46","first-page":"10096","volume":"139","author":"M Tan","year":"2021","unstructured":"Tan M, Le QV. EfficientNetV2: smaller models and faster training. Proc Mach Learn Res. 2021;139:10096\u2013106.","journal-title":"Proc Mach Learn Res"},{"key":"4170_CR47","doi-asserted-by":"publisher","first-page":"11966","DOI":"10.1109\/CVPR52688.2022.01167","volume":"2022\u2013June","author":"Z Liu","year":"2022","unstructured":"Liu Z, Mao H, Wu CY, Feichtenhofer C, Darrell T, Xie S. A ConvNet for the 2020s. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2022;2022\u2013June:11966\u201376. https:\/\/doi.org\/10.1109\/CVPR52688.2022.01167.","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit"},{"key":"4170_CR48","doi-asserted-by":"publisher","first-page":"618","DOI":"10.1109\/ICCV.2017.74","volume":"2017\u2013October","author":"RR Selvaraju","year":"2017","unstructured":"Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D. Grad-CAM: visual explanations from deep networks via Gradient-Based localization. Proc IEEE Int Conf Comput Vis. 2017;2017\u2013October:618\u201326. https:\/\/doi.org\/10.1109\/ICCV.2017.74.","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"4170_CR49","doi-asserted-by":"publisher","unstructured":"Ribeiro MT, Singh S, Guestrin C. Why Should I Trust You? Explaining the Predictions of Any Classifier. n.d. https:\/\/doi.org\/10.1145\/2939672.2939778","DOI":"10.1145\/2939672.2939778"},{"key":"4170_CR50","unstructured":"Sundararajan M, Taly A, Yan Q. Axiomatic Attribution for Deep Networks. 2017."}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04170-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-025-04170-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04170-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T09:28:07Z","timestamp":1752139687000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-025-04170-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,9]]},"references-count":50,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["4170"],"URL":"https:\/\/doi.org\/10.1007\/s42979-025-04170-3","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,9]]},"assertion":[{"value":"31 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"619"}}