{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T17:17:17Z","timestamp":1730308637507,"version":"3.28.0"},"reference-count":14,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3,1]]},"DOI":"10.1117\/12.2254014","type":"proceedings-article","created":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T20:37:38Z","timestamp":1488400658000},"page":"101400F","source":"Crossref","is-referenced-by-count":0,"title":["Context-sensitive patch histograms for detecting rare events in histopathological data"],"prefix":"10.1117","volume":"10140","author":[{"given":"Kristians","family":"Diaz","sequence":"additional","affiliation":[{"name":"Technische Univ. M\u00fcnchen (Germany)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maximilian","family":"Baust","sequence":"additional","affiliation":[{"name":"Technische Univ. M\u00fcnchen (Germany)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nassir","family":"Navab","sequence":"additional","affiliation":[{"name":"Technische Univ. M\u00fcnchen (Germany)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M1123"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2009.2034865"},{"key":"c3","first-page":"411","article-title":"Mitosis detection in breast cancer histology images with deep neural networks","author":"Ciresan","year":"2013"},{"key":"c4","first-page":"648","article-title":"Weakly-supervised structured output learning with flexible and latent graphs using high-order loss functions","author":"Carneiro","year":"2015"},{"key":"c5","first-page":"1","article-title":"Leveraging random forests for interactive exploration of large histological images","author":"Peter","year":"2014"},{"key":"c6","first-page":"2429","article-title":"Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images","author":"Carneiro","year":"2015"},{"key":"c7","doi-asserted-by":"publisher","DOI":"10.1152\/ajplegacy.1970.219.3.724"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2407-8-228"},{"key":"c9","first-page":"1107","article-title":"A method for normalizing histology slides for quantitative analysis","volume":"9","author":"Macenko","year":"2009"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.1016\/0262-8856(90)90059-E"},{"key":"c11","unstructured":"E. R. Davies, Computer and machine vision: theory, algorithms, practicalities, Academic Press, 2012."},{"key":"c12","first-page":"2169","article-title":"Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories","volume":"2","author":"Lazebnik","year":"2006"},{"key":"c13","first-page":"1117","article-title":"Preattentive co-saliency detection","author":"Chen","year":"2010"},{"key":"c14","first-page":"2214","article-title":"Center-surround divergence of feature statistics for salient object detection","author":"Klein","year":"2011"}],"event":{"name":"SPIE Medical Imaging","location":"Orlando, Florida, United States"},"container-title":["SPIE Proceedings","Medical Imaging 2017: Digital Pathology"],"original-title":[],"deposited":{"date-parts":[[2018,9,27]],"date-time":"2018-09-27T05:32:59Z","timestamp":1538026379000},"score":1,"resource":{"primary":{"URL":"http:\/\/proceedings.spiedigitallibrary.org\/proceeding.aspx?doi=10.1117\/12.2254014"}},"subtitle":[],"editor":[{"given":"Metin N.","family":"Gurcan","sequence":"first","affiliation":[{"name":"The Ohio State Univ. Wexner Medical Ctr. (United States)"}],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"John E.","family":"Tomaszewski","sequence":"additional","affiliation":[{"name":"Univ. at Buffalo (United States)"}],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2017,3,1]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1117\/12.2254014","relation":{},"ISSN":["0277-786X"],"issn-type":[{"type":"print","value":"0277-786X"}],"subject":[],"published":{"date-parts":[[2017,3,1]]}}}