{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T13:59:59Z","timestamp":1779199199162,"version":"3.51.4"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T00:00:00Z","timestamp":1747699200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T00:00:00Z","timestamp":1747699200000},"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\/s10278-025-01546-y","type":"journal-article","created":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T11:31:08Z","timestamp":1747740668000},"page":"620-626","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Improving Ovarian Cancer Subtyping with Computer Vision Models on Tiled Histopathological Images"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0521-2152","authenticated-orcid":false,"given":"Sterling","family":"Ramroach","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rikaard","family":"Hosein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,20]]},"reference":[{"key":"1546_CR1","doi-asserted-by":"publisher","first-page":"30","DOI":"10.5114\/pjr.2024.134817","volume":"89","author":"MH Sadeghi","year":"2024","unstructured":"Sadeghi, M.H., Sina, S., Omidi, H., Farshchitabrizi, A.H., Alavi, M.: Deep learning in ovarian cancer diagnosis: a comprehensive review of various imaging modalities. Polish Journal of Radiology 89, 30 (2024)","journal-title":"Polish Journal of Radiology"},{"key":"1546_CR2","doi-asserted-by":"publisher","first-page":"1329133","DOI":"10.3389\/fonc.2024.1329133","volume":"14","author":"B Chen","year":"2024","unstructured":"Chen, B., Zhao, L., Yang, R., Xu, T.: New insights about endometriosis-associated ovarian cancer: pathogenesis, risk factors, prediction and diagnosis and treatment. Frontiers in Oncology 14, 1329133 (2024)","journal-title":"Frontiers in Oncology"},{"key":"1546_CR3","doi-asserted-by":"crossref","unstructured":"Barre\u00f1ada, L., Ledger, A., Dhiman, P., Collins, G., Wynants, L., Verbakel, J.Y., Timmerman, D., Valentin, L., Van\u00a0Calster, B.: Adnex risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ medicine 3(1) (2024)","DOI":"10.1136\/bmjmed-2023-000817"},{"issue":"5","key":"1546_CR4","first-page":"4736","volume":"16","author":"P Liu","year":"2024","unstructured":"Liu, P., Liu, J., Liu, J., Yu, X.: Investigating the mechanisms of drug resistance and prognosis in ovarian cancer using single-cell rna sequencing and bulk rna sequencing. Aging (Albany NY) 16(5), 4736 (2024)","journal-title":"Aging (Albany NY)"},{"issue":"12","key":"1546_CR5","doi-asserted-by":"publisher","first-page":"820","DOI":"10.1038\/s41571-023-00819-1","volume":"20","author":"AC Veneziani","year":"2023","unstructured":"Veneziani, A.C., Gonzalez-Ochoa, E., Alqaisi, H., Madariaga, A., Bhat, G., Rouzbahman, M., Sneha, S., Oza, A.M.: Heterogeneity and treatment landscape of ovarian carcinoma. Nature Reviews Clinical Oncology 20(12), 820\u2013842 (2023)","journal-title":"Nature Reviews Clinical Oncology"},{"key":"1546_CR6","doi-asserted-by":"crossref","unstructured":"Magdy, A., Hussein, H., Abdel-Kader, R.F., Abd El\u00a0Salam, K.: Performance enhancement of skin cancer classification using computer vision. IEEE Access (2023)","DOI":"10.1109\/ACCESS.2023.3294974"},{"key":"1546_CR7","doi-asserted-by":"crossref","unstructured":"He, X., Liu, X., Zuo, F., Shi, H., Jing, J.: Artificial intelligence-based multi-omics analysis fuels cancer precision medicine. In: Seminars in Cancer Biology, vol. 88, pp. 187\u2013200 (2023). Elsevier","DOI":"10.1016\/j.semcancer.2022.12.009"},{"key":"1546_CR8","doi-asserted-by":"crossref","unstructured":"Li, S., Jiang, H., Wang, Z., Zhang, G., Yao, Y.-d.: An effective computer aided diagnosis model for pancreas cancer on pet\/ct images. Computer methods and programs in biomedicine 165, 205\u2013214 (2018)","DOI":"10.1016\/j.cmpb.2018.09.001"},{"issue":"10","key":"1546_CR9","doi-asserted-by":"publisher","first-page":"1703","DOI":"10.3390\/diagnostics13101703","volume":"13","author":"B Ziyambe","year":"2023","unstructured":"Ziyambe, B., Yahya, A., Mushiri, T., Tariq, M.U., Abbas, Q., Babar, M., Albathan, M., Asim, M., Hussain, A., Jabbar, S.: A deep learning framework for the prediction and diagnosis of ovarian cancer in pre-and post-menopausal women. Diagnostics 13(10), 1703 (2023)","journal-title":"Diagnostics"},{"key":"1546_CR10","doi-asserted-by":"crossref","unstructured":"Kodipalli, A., Devi, S., Dasar, S., Ismail, T.: Segmentation and classification of ovarian cancer based on conditional adversarial image to image translation approach. Expert Systems, 13193 (2022)","DOI":"10.1111\/exsy.13193"},{"issue":"3","key":"1546_CR11","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1016\/j.ygyno.2021.06.033","volume":"162","author":"A Gadducci","year":"2021","unstructured":"Gadducci, A., Multinu, F., Cosio, S., Carinelli, S., Ghioni, M., Aletti, G.D.: Clear cell carcinoma of the ovary: Epidemiology, pathological and biological features, treatment options and clinical outcomes. Gynecologic oncology 162(3), 741\u2013750 (2021)","journal-title":"Gynecologic oncology"},{"key":"1546_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13048-021-00804-1","volume":"14","author":"L Zhou","year":"2021","unstructured":"Zhou, L., Yao, L., Dai, L., Zhu, H., Ye, X., Wang, S., Cheng, H., Ma, R., Liu, H., Cui, H., et al: Ovarian endometrioid carcinoma and clear cell carcinoma: A 21-year retrospective study. Journal of ovarian research 14, 1\u201312 (2021)","journal-title":"Journal of ovarian research"},{"issue":"11","key":"1546_CR13","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1038\/s41568-022-00503-z","volume":"22","author":"LE Kandalaft","year":"2022","unstructured":"Kandalaft, L.E., Dangaj\u00a0Laniti, D., Coukos, G.: Immunobiology of high-grade serous ovarian cancer: lessons for clinical translation. Nature Reviews Cancer 22(11), 640\u2013656 (2022)","journal-title":"Nature Reviews Cancer"},{"issue":"2","key":"1546_CR14","doi-asserted-by":"publisher","first-page":"458","DOI":"10.3390\/diagnostics12020458","volume":"12","author":"A Babaier","year":"2022","unstructured":"Babaier, A., Mal, H., Alselwi, W., Ghatage, P.: Low-grade serous carcinoma of the ovary: the current status. Diagnostics 12(2), 458 (2022)","journal-title":"Diagnostics"},{"issue":"2","key":"1546_CR15","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1111\/his.14399","volume":"80","author":"KL Talia","year":"2022","unstructured":"Talia, K.L., Parra-Herran, C., McCluggage, W.G.: Ovarian mucinous and seromucinous neoplasms: problematic aspects and modern diagnostic approach. Histopathology 80(2), 255\u2013278 (2022)","journal-title":"Histopathology"},{"issue":"21","key":"1546_CR16","doi-asserted-by":"publisher","first-page":"15862","DOI":"10.3390\/ijms242115862","volume":"24","author":"A Szyposzynska","year":"2023","unstructured":"Szyposzynska, A., Bielawska-Pohl, A., Murawski, M., Sozanski, R., Chodaczek, G., Klimczak, A.: Mesenchymal stem cell microvesicles from adipose tissue: unraveling their impact on primary ovarian cancer cells and their therapeutic opportunities. International Journal of Molecular Sciences 24(21), 15862 (2023)","journal-title":"International Journal of Molecular Sciences"},{"key":"1546_CR17","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.matbio.2023.02.004","volume":"118","author":"Y Brown","year":"2023","unstructured":"Brown, Y., Hua, S., Tanwar, P.S.: Extracellular matrix in high-grade serous ovarian cancer: Advances in understanding of carcinogenesis and cancer biology. Matrix Biology 118, 16\u201346 (2023)","journal-title":"Matrix Biology"},{"key":"1546_CR18","unstructured":"Wang, X., Chen, H., Gan, C., Lin, H., Dou, Q., Huang, Q., Cai, M., Heng, P.-A.: Weakly supervised learning for whole slide lung cancer image classification. In: Medical Imaging with Deep Learning (2022)"},{"key":"1546_CR19","doi-asserted-by":"crossref","unstructured":"Gao, Z., Hong, B., Li, Y., Zhang, X., Wu, J., Wang, C., Zhang, X., Gong, T., Zheng, Y., Meng, D., et al: A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Analysis 83, 102652 (2023)","DOI":"10.1016\/j.media.2022.102652"},{"key":"1546_CR20","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.patcog.2018.07.022","volume":"84","author":"B Gecer","year":"2018","unstructured":"Gecer, B., Aksoy, S., Mercan, E., Shapiro, L.G., Weaver, D.L., Elmore, J.G.: Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks. Pattern recognition 84, 345\u2013356 (2018)","journal-title":"Pattern recognition"},{"key":"1546_CR21","unstructured":"Kasture, K.: Ovariancancer &subtypes. Mendeley Data 1 (2021)"},{"key":"1546_CR22","unstructured":"Bashashati, A., Farahani, H., Consortium, O., Karnezis, A., Akbari, A., Kim, S., Chow, A., Dane, S., Zhang, A., Asadi, M.: UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN). https:\/\/kaggle.com\/competitions\/UBC-OCEAN. Kaggle (2023)"},{"key":"1546_CR23","doi-asserted-by":"crossref","unstructured":"Asadi-Aghbolaghi, M., Farahani, H., Zhang, A., Akbari, A., Kim, S., Chow, A., Dane, S., Consortium, O.C., Consortium, O., G\u00a0Huntsman, D., et al.: Machine learning-driven histotype diagnosis of ovarian carcinoma: Insights from the ocean ai challenge. medRxiv, 2024\u201304 (2024)","DOI":"10.1101\/2024.04.19.24306099"},{"issue":"12","key":"1546_CR24","doi-asserted-by":"publisher","first-page":"1983","DOI":"10.1038\/s41379-022-01146-z","volume":"35","author":"H Farahani","year":"2022","unstructured":"Farahani, H., Boschman, J., Farnell, D., Darbandsari, A., Zhang, A., Ahmadvand, P., Jones, S.J., Huntsman, D., K\u00f6bel, M., Gilks, C.B., et al: Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images. Modern Pathology 35(12), 1983\u20131990 (2022)","journal-title":"Modern Pathology"},{"key":"1546_CR25","unstructured":"Tan, M., Le, Q.: Efficientnet: Rethinking model scaling for convolutional neural networks. In: International Conference on Machine Learning, pp. 6105\u20136114 (2019). PMLR"},{"key":"1546_CR26","unstructured":"Targ, S., Almeida, D., Lyman, K.: Resnet in resnet: Generalizing residual architectures. arXiv preprint arXiv:1603.08029 (2016)"},{"key":"1546_CR27","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1016\/j.procs.2022.01.135","volume":"199","author":"P Jiang","year":"2022","unstructured":"Jiang, P., Ergu, D., Liu, F., Cai, Y., Ma, B.: A review of yolo algorithm developments. Procedia computer science 199, 1066\u20131073 (2022)","journal-title":"Procedia computer science"},{"key":"1546_CR28","unstructured":"Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., et al.: Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019)"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-025-01546-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-025-01546-y","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-025-01546-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T18:46:33Z","timestamp":1771526793000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-025-01546-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,20]]},"references-count":28,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,2]]}},"alternative-id":["1546"],"URL":"https:\/\/doi.org\/10.1007\/s10278-025-01546-y","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,20]]},"assertion":[{"value":"15 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2025","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 authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}