{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T18:12:30Z","timestamp":1730311950489,"version":"3.28.0"},"reference-count":36,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,7]]},"DOI":"10.1117\/12.2654025","type":"proceedings-article","created":{"date-parts":[[2023,4,6]],"date-time":"2023-04-06T15:58:10Z","timestamp":1680796690000},"page":"86","source":"Crossref","is-referenced-by-count":1,"title":["Glaucoma classification using a morphological-convolutional neural network trained with extreme learning machine"],"prefix":"10.1117","author":[{"given":"Martha Rebeca","family":"Canales-Fiscal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9","family":"Tamez-Pe\u00f1a","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanjana","family":"Mudduluru","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"189","reference":[{"key":"c1","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-020-00540-3"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"issue":"1","key":"c4","article-title":"Inception-v4, Inception-ResNet and the impact of residual connections on learning","volume":"31","author":"Szegedy","year":"2017","journal-title":"AAAI Artificial Intelligence"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"c6","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1807.11164"},{"key":"c7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR35066.2017"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-55258-9_5"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0931-3"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.3390\/app11062751"},{"key":"c11","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(18)30286-8"},{"key":"c12","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"c13","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-018-0324-9"},{"key":"c14","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"c15","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"c16","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-11024-6_37","article-title":"Pre-training on grayscale imagenet improves medical image classification.","volume-title":"Computer Vision \u2013 ECCV 2018 Workshops. ECCV 2018. Lecture Notes in Computer Science, Cham, Switzerland","author":"Xie","year":"2019"},{"key":"c17","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.2019180066"},{"key":"c18","article-title":"Self-supervised Learning from 100 Million Medical Images.","author":"Ghesu","year":"2022","journal-title":"arXiv:2201.01283"},{"key":"c19","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.03.009"},{"key":"c20","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017171920"},{"key":"c21","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018180547"},{"key":"c22","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2019190613"},{"key":"c23","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020192224"},{"key":"c24","doi-asserted-by":"publisher","DOI":"10.1148\/ryai.210315"},{"key":"c25","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-018-0579-z"},{"key":"c26","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1001779"},{"key":"c27","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"c28","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1102873"},{"key":"c29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"article-title":"Random decision forests","year":"1995","author":"Ho","key":"c30"},{"key":"c31","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2004.1380068"},{"key":"c32","doi-asserted-by":"publisher","DOI":"10.1109\/iembs.2010.5626137"},{"article-title":"Detection of Traffic Signs in Real-World Images: The G erman T raffic S ign D etection B enchmark","year":"2013","author":"Sebastian Houben","key":"c33"},{"key":"c34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"c35","first-page":"8024","article-title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","author":"Paszke","year":"2019","journal-title":"Advances in Neural Information Processing Systems 32: Curran Associates Inc."},{"journal-title":"Python 3 Reference Manual","year":"2009","author":"Van Rossum","key":"c36"}],"event":{"name":"Computer-Aided Diagnosis","start":{"date-parts":[[2023,2,19]]},"location":"San Diego, United States","end":{"date-parts":[[2023,2,24]]}},"container-title":["Medical Imaging 2023: Computer-Aided Diagnosis"],"original-title":[],"deposited":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T19:05:26Z","timestamp":1682363126000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12465\/2654025\/Glaucoma-classification-using-a-morphological-convolutional-neural-network-trained-with\/10.1117\/12.2654025.full"}},"subtitle":[],"editor":[{"given":"Khan M.","family":"Iftekharuddin","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Weijie","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2023,4,7]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1117\/12.2654025","relation":{},"subject":[],"published":{"date-parts":[[2023,4,7]]}}}