{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T17:26:19Z","timestamp":1772213179120,"version":"3.50.1"},"publisher-location":"Wiesbaden","reference-count":14,"publisher":"Springer Fachmedien Wiesbaden","isbn-type":[{"value":"9783658474218","type":"print"},{"value":"9783658474225","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-658-47422-5_56","type":"book-chapter","created":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T16:48:26Z","timestamp":1740847706000},"page":"260-265","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma"],"prefix":"10.1007","author":[{"given":"Sweta","family":"Banerjee","sequence":"first","affiliation":[]},{"given":"Christof A.","family":"Bertram","sequence":"additional","affiliation":[]},{"given":"Jonas","family":"Ammeling","sequence":"additional","affiliation":[]},{"given":"Viktoria","family":"Weiss","sequence":"additional","affiliation":[]},{"given":"Thomas","family":"Conrad","sequence":"additional","affiliation":[]},{"given":"Robert","family":"Klopfleisch","sequence":"additional","affiliation":[]},{"given":"Christopher","family":"Kaltenecker","sequence":"additional","affiliation":[]},{"given":"Katharina","family":"Breininger","sequence":"additional","affiliation":[]},{"given":"Marc","family":"Aubreville","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,2]]},"reference":[{"key":"56_CR1","doi-asserted-by":"crossref","unstructured":"Sung H, Ferlay J, Siegel RL et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209\u201349.","DOI":"10.3322\/caac.21660"},{"key":"56_CR2","doi-asserted-by":"crossref","unstructured":"Tubiana M, Pejovic MH, Koscielny S et al. Growth rate, kinetics of tumor cell proliferation and long-term outcome in human breast cancer. Int J Cancer. 1989;44(1):17\u201322.","DOI":"10.1002\/ijc.2910440104"},{"key":"56_CR3","unstructured":"Fitzgibbons PL, Connolly JL. Protocol for the examination of resection specimens from patients with invasive carcinoma of the breast. CAP guidelines. 2023;4.8.1.0."},{"key":"56_CR4","doi-asserted-by":"crossref","unstructured":"Meyer JS, Alvarez C, Milikowski C et al. Breast carcinoma malignancy grading by Bloom- Richardson system vs proliferation index: reproducibility of grade and advantages of proliferation index. Modern Pathol. 2005;18(8):1067\u201378.","DOI":"10.1038\/modpathol.3800388"},{"key":"56_CR5","doi-asserted-by":"crossref","unstructured":"O\u2019Connor JP, Rose CJ, Waterton JC et al. Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome. Clin Cancer Res. 2015;21(2):249\u201357.","DOI":"10.1158\/1078-0432.CCR-14-0990"},{"key":"56_CR6","unstructured":"Lingle W, Erickson B, Zuley M et al. The Cancer Genome Atlas Breast Invasive Carcinoma Collection (TCGA-BRCA)(Version 3). Cancer Imag Arch. 2016."},{"key":"56_CR7","doi-asserted-by":"crossref","unstructured":"Amgad M, Elfandy H, Hussein H et al. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019;35(18):3461\u20137.","DOI":"10.1093\/bioinformatics\/btz083"},{"key":"56_CR8","doi-asserted-by":"crossref","unstructured":"Zheng H, Zhuang Z, Qin Y et al.Weakly supervised deep learning for breast cancer segmentation with coarse annotations. Proc MICCAI. 2020:450\u20139.","DOI":"10.1007\/978-3-030-59719-1_44"},{"key":"56_CR9","doi-asserted-by":"crossref","unstructured":"Marzahl C, Aubreville M, Bertram CA et al. EXACT: a collaboration toolset for algorithmaided annotation of images with annotation version control. Sci Rep. 2021;11(1):4343.","DOI":"10.1038\/s41598-021-83827-4"},{"key":"56_CR10","doi-asserted-by":"crossref","unstructured":"Aubreville M, Bertram C, Klopfleisch R et al. Sliderunner: a tool for massive cell annotations in whole slide images. Proc BVM. 2018:309\u201314.","DOI":"10.1007\/978-3-662-56537-7_81"},{"key":"56_CR11","doi-asserted-by":"crossref","unstructured":"Sirinukunwattana K, Alham NK, Verrill C et al. Improving whole slide segmentation through visual context-a systematic study. Proc MICCAI. 2018:192\u2013200.","DOI":"10.1007\/978-3-030-00934-2_22"},{"key":"56_CR12","doi-asserted-by":"crossref","unstructured":"Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation. Proc MICCAI. 2015:234\u201341.","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"56_CR13","unstructured":"Chen LC.Rethinking atrous convolution for semantic image segmentation. arXiv: 1706.05587. 2017."},{"key":"56_CR14","doi-asserted-by":"crossref","unstructured":"Isensee F, Wald T, Ulrich C et al. nnU-Net revisited: a call for rigorous validation in 3d medical image segmentation. Proc MICCAI. 2024:488\u201398.","DOI":"10.1007\/978-3-031-72114-4_47"}],"container-title":["Informatik aktuell","Bildverarbeitung f\u00fcr die Medizin 2025"],"original-title":[],"language":"de","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-658-47422-5_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T16:43:36Z","timestamp":1772210616000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-658-47422-5_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783658474218","9783658474225"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-658-47422-5_56","relation":{},"ISSN":["1431-472X","2628-8958"],"issn-type":[{"value":"1431-472X","type":"print"},{"value":"2628-8958","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BVM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"BVM Workshop","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Regensburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Deutschland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 March 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 March 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bvm2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.bvm-conf.org\/de\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}