{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T20:06:23Z","timestamp":1762459583921,"version":"3.28.0"},"reference-count":14,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,3,6]]},"DOI":"10.1117\/12.2292249","type":"proceedings-article","created":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T17:21:46Z","timestamp":1520356906000},"page":"4","source":"Crossref","is-referenced-by-count":4,"title":["An application of transfer learning to neutrophil cluster detection for tuberculosis: efficient implementation with nonmetric multidimensional scaling and sampling"],"prefix":"10.1117","author":[{"given":"Muhammad Khalid Khan","family":"Niazi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gillian","family":"Beamer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Metin N.","family":"Gurcan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1016\/j.it.2011.10.003"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1242\/dmm.020867"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1172\/JCI72030"},{"article-title":"Global tuberculosis report 2016","year":"2016","author":"Organization","key":"c4"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1038\/nature09247"},{"issue":"612","key":"c6","first-page":"1","article-title":"The key role of exudative lesions and their encapsulation: lessons learned from the pathology of human pulmonary tuberculosis","volume":"6","author":"Cardona","year":"2015"},{"issue":"24","key":"c7","first-page":"1","article-title":"Genetically diverse mice are novel and valuable models of age-associated susceptibility to Mycobacterium tuberculosis","volume":"11","author":"Harrison","year":"2014"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.201304-0803OC"},{"key":"c9","first-page":"101400J","article-title":"A computational framework to detect normal and tuberculosis infected lung from H&E-stained whole slide images","volume":"10140","author":"Niazi","year":"2017"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289694"},{"key":"c11","doi-asserted-by":"publisher","DOI":"10.1002\/cyto.a.v85.2"},{"key":"c12","first-page":"2818","article-title":"Rethinking the inception architecture for computer vision","author":"Szegedy","year":"2016"},{"key":"c13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"c14","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"Donahue","year":"2014"}],"event":{"name":"Digital Pathology","start":{"date-parts":[[2018,2,10]]},"location":"Houston, United States","end":{"date-parts":[[2018,2,15]]}},"container-title":["Medical Imaging 2018: Digital Pathology"],"original-title":[],"deposited":{"date-parts":[[2018,5,23]],"date-time":"2018-05-23T18:21:33Z","timestamp":1527099693000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10581\/2292249\/An-application-of-transfer-learning-to-neutrophil-cluster-detection-for\/10.1117\/12.2292249.full"}},"subtitle":[],"editor":[{"given":"Metin N.","family":"Gurcan","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"John E.","family":"Tomaszewski","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2018,3,6]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1117\/12.2292249","relation":{},"subject":[],"published":{"date-parts":[[2018,3,6]]}}}