{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T21:03:08Z","timestamp":1761253388854,"version":"3.28.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/isbi.2019.8759205","type":"proceedings-article","created":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T23:58:34Z","timestamp":1562889514000},"page":"933-937","source":"Crossref","is-referenced-by-count":6,"title":["Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort"],"prefix":"10.1109","author":[{"given":"Peter","family":"Naylor","sequence":"first","affiliation":[]},{"given":"Joseph","family":"Boyd","sequence":"additional","affiliation":[]},{"given":"Marick","family":"Lae","sequence":"additional","affiliation":[]},{"given":"Fabien","family":"Reyal","sequence":"additional","affiliation":[]},{"given":"Thomas","family":"Walter","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Predicting breast tumor proliferation from whole-slide images: the tupac16 challenge","author":"veta","year":"2018","journal-title":"arXiv preprint arXiv 1807 08284"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-017-1685-x"},{"key":"ref12","article-title":"Classification and disease 10-calization in histopathology using only global labels: A weakly-supervised approach","author":"courtiol","year":"2018","journal-title":"arXiv preprint arxiv 1802 05807"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/s12885-017-3927-8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.513"},{"key":"ref18","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"journal-title":"Keras","year":"2015","author":"chollet","key":"ref19"},{"key":"ref4","first-page":"101400h","article-title":"Convolutional neural networks for prostate cancer recurrence prediction","volume":"10140","author":"kumar","year":"2017","journal-title":"Medical Imaging 2017 Digital Pathology International Society for Optics and Photonics"},{"key":"ref3","article-title":"Segmentation of nuclei in histopathology images by deep regression of the distance map","author":"naylor","year":"2018","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"ref6","article-title":"Bach: Grand challenge on breast cancer histology images","author":"aresta","year":"2018","journal-title":"arXiv preprint arXiv 1808 02194"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33454-2_77"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.725"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495124"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2007.10.6823"},{"journal-title":"Les cancers en France","year":"2017","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giy065"}],"event":{"name":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)","start":{"date-parts":[[2019,4,8]]},"location":"Venice, Italy","end":{"date-parts":[[2019,4,11]]}},"container-title":["2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8754684\/8759097\/08759205.pdf?arnumber=8759205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:50:03Z","timestamp":1658094603000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8759205\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/isbi.2019.8759205","relation":{},"subject":[],"published":{"date-parts":[[2019,4]]}}}