{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T17:45:04Z","timestamp":1791913504305,"version":"4.3.4"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031439896","type":"print"},{"value":"9783031439902","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-43990-2_52","type":"book-chapter","created":{"date-parts":[[2023,9,30]],"date-time":"2023-09-30T23:07:48Z","timestamp":1696115268000},"page":"551-561","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Multi-task Learning of\u00a0Histology and\u00a0Molecular Markers for\u00a0Classifying Diffuse Glioma"],"prefix":"10.1007","author":[{"given":"Xiaofei","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen","family":"Price","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,10,1]]},"reference":[{"issue":"4","key":"52_CR1","doi-asserted-by":"publisher","DOI":"10.1111\/bpa.13060","volume":"32","author":"TA Bale","year":"2022","unstructured":"Bale, T.A., Rosenblum, M.K.: The 2021 who classification of tumors of the central nervous system: an update on pediatric low-grade gliomas and glioneuronal tumors. Brain Pathol. 32(4), e13060 (2022)","journal-title":"Brain Pathol."},{"key":"52_CR2","doi-asserted-by":"crossref","unstructured":"Campanella, G., et al.: Clinical-grade computational pathology using weakly supervised deep learning on whole slide images. Nat. Med. 25(8), 1301\u20131309 (2019)","DOI":"10.1038\/s41591-019-0508-1"},{"issue":"4","key":"52_CR3","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1109\/TMI.2020.3021387","volume":"41","author":"RJ Chen","year":"2020","unstructured":"Chen, R.J., et al.: Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis. IEEE Trans. Med. Imaging 41(4), 757\u2013770 (2020)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"52_CR4","unstructured":"Dosovitskiy, A., et al.: An image is worth 16x16 words: transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"key":"52_CR5","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"52_CR6","unstructured":"https:\/\/portal.gdc.cancer.gov\/"},{"key":"52_CR7","unstructured":"https:\/\/www.cancer.net\/cancer-types\/brain-tumor\/statistics"},{"key":"52_CR8","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4700\u20134708 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"issue":"2","key":"52_CR9","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.ygyno.2021.05.026","volume":"162","author":"S Imboden","year":"2021","unstructured":"Imboden, S., et al.: Implementation of the 2021 molecular ESGO\/ESTRO\/ESP risk groups in endometrial cancer. Gynecol. Oncol. 162(2), 394\u2013400 (2021)","journal-title":"Gynecol. Oncol."},{"issue":"1","key":"52_CR10","doi-asserted-by":"publisher","first-page":"16849","DOI":"10.1038\/s41598-021-95948-x","volume":"11","author":"S Jiang","year":"2021","unstructured":"Jiang, S., Zanazzi, G.J., Hassanpour, S.: Predicting prognosis and IDH mutation status for patients with lower-grade gliomas using whole slide images. Sci. Rep. 11(1), 16849 (2021)","journal-title":"Sci. Rep."},{"key":"52_CR11","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"52_CR12","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.patrec.2022.01.003","volume":"156","author":"X Li","year":"2022","unstructured":"Li, X., Wu, H., Li, M., Liu, H.: Multi-label video classification via coupling attentional multiple instance learning with label relation graph. Pattern Recogn. Lett. 156, 53\u201359 (2022)","journal-title":"Pattern Recogn. Lett."},{"issue":"10","key":"52_CR13","doi-asserted-by":"publisher","first-page":"4527","DOI":"10.1002\/cam4.2362","volume":"8","author":"S Liang","year":"2019","unstructured":"Liang, S., et al.: Clinical practice guidelines for the diagnosis and treatment of adult diffuse glioma-related epilepsy. Cancer Med. 8(10), 4527\u20134535 (2019)","journal-title":"Cancer Med."},{"issue":"8","key":"52_CR14","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1093\/neuonc\/noab106","volume":"23","author":"DN Louis","year":"2021","unstructured":"Louis, D.N., et al.: The 2021 who classification of tumors of the central nervous system: a summary. Neuro Oncol. 23(8), 1231\u20131251 (2021)","journal-title":"Neuro Oncol."},{"issue":"6","key":"52_CR15","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1038\/s41551-020-00682-w","volume":"5","author":"MY Lu","year":"2021","unstructured":"Lu, M.Y., Williamson, D.F., Chen, T.Y., Chen, R.J., Barbieri, M., Mahmood, F.: Data-efficient and weakly supervised computational pathology on whole-slide images. Nat. Biomed. Eng. 5(6), 555\u2013570 (2021)","journal-title":"Nat. Biomed. Eng."},{"key":"52_CR16","first-page":"2136","volume":"34","author":"Z Shao","year":"2021","unstructured":"Shao, Z., Bian, H., Chen, Y., Wang, Y., Zhang, J., Ji, X., et al.: TransMil: transformer based correlated multiple instance learning for whole slide image classification. Adv. Neural. Inf. Process. Syst. 34, 2136\u20132147 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"52_CR17","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"issue":"7","key":"52_CR18","doi-asserted-by":"publisher","first-page":"1392","DOI":"10.1038\/s41379-021-00779-w","volume":"34","author":"K Trpkov","year":"2021","unstructured":"Trpkov, K., et al.: New developments in existing who entities and evolving molecular concepts: The genitourinary pathology society (gups) update on renal neoplasia. Mod. Pathol. 34(7), 1392\u20131424 (2021)","journal-title":"Mod. Pathol."},{"key":"52_CR19","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s12022-021-09665-2","volume":"32","author":"M Volante","year":"2021","unstructured":"Volante, M., Lam, A.K., Papotti, M., Tallini, G.: Molecular pathology of poorly differentiated and anaplastic thyroid cancer: what do pathologists need to know? Endocr. Pathol. 32, 63\u201376 (2021)","journal-title":"Endocr. Pathol."},{"key":"52_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"636","DOI":"10.1007\/978-3-031-16443-9_61","volume-title":"Medical Image Computing and Computer Assisted Intervention - MICCAI 2022","author":"X Xing","year":"2022","unstructured":"Xing, X., Chen, Z., Zhu, M., Hou, Y., Gao, Z., Yuan, Y.: Discrepancy and gradient-guided multi-modal knowledge distillation for pathological glioma grading. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds.) MICCAI 2022. LNCS, vol. 13435, pp. 636\u2013646. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16443-9_61"},{"key":"52_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12916-021-01953-2","volume":"19","author":"H Yang","year":"2021","unstructured":"Yang, H., et al.: Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study. BMC Med. 19, 1\u201314 (2021)","journal-title":"BMC Med."},{"key":"52_CR22","unstructured":"Yazici, V.O., Gonzalez-Garcia, A., Ramisa, A., Twardowski, B., Weijer, J.v.d.: Orderless recurrent models for multi-label classification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13440\u201313449 (2020)"},{"issue":"1","key":"52_CR23","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1002\/path.2995","volume":"226","author":"S Yip","year":"2012","unstructured":"Yip, S., et al.: Concurrent CIC mutations, IDH mutations, and 1p\/19q loss distinguish oligodendrogliomas from other cancers. J. Pathol. 226(1), 7\u201316 (2012)","journal-title":"J. Pathol."},{"key":"52_CR24","unstructured":"Zhang, L., Wei, Y., Fu, Y., Price, S., Sch\u00f6nlieb, C.B., Li, C.: Mutual contrastive low-rank learning to disentangle whole slide image representations for glioma grading. arXiv preprint arXiv:2203.04013 (2022)"},{"key":"52_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Luo, L., Dou, Q., Heng, P.A.: Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. Med. Image Anal. 102772 (2023)","DOI":"10.1016\/j.media.2023.102772"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43990-2_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T15:41:53Z","timestamp":1710171713000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43990-2_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031439896","9783031439902"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43990-2_52","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vancouver, BC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2023\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2250","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"730","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}