{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:27:34Z","timestamp":1762324054699,"version":"3.28.0"},"reference-count":29,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3,3]]},"DOI":"10.1117\/12.2254621","type":"proceedings-article","created":{"date-parts":[[2017,3,3]],"date-time":"2017-03-03T20:31:28Z","timestamp":1488573088000},"page":"101351L","source":"Crossref","is-referenced-by-count":16,"title":["Deep convolutional neural network for prostate MR segmentation"],"prefix":"10.1117","volume":"10135","author":[{"given":"Zhiqiang","family":"Tian","sequence":"additional","affiliation":[{"name":"Emory Univ. (United States)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizhi","family":"Liu","sequence":"additional","affiliation":[{"name":"Emory Univ. (United States)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baowei","family":"Fei","sequence":"additional","affiliation":[{"name":"Winship Cancer Institute, Emory Univ. (United States)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"189","reference":[{"issue":"1","key":"c1","first-page":"7","article-title":"Cancer statistics","volume":"66","author":"Siegel","year":"2016"},{"key":"c2","doi-asserted-by":"publisher","DOI":"10.1016\/S0895-6111(02)00093-9"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2003.809078"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2300694"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2303821"},{"key":"c6","first-page":"1907","article-title":"Imagenet classification with deep convolutional neural networks.","author":"Krizhevsky","year":"2012"},{"key":"c7","first-page":"248","article-title":"Imagenet: A large-scale hierarchical image database.","author":"Deng","year":"2009"},{"article-title":"Deep residual learning for image recognition.","year":"2015","author":"He","key":"c8"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"c10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.12.061"},{"key":"c11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2508280"},{"key":"c12","first-page":"2843","article-title":"Deep neural networks segment neuronal membranes in electron microscopy images.","author":"Ciresan","year":"2012"},{"key":"c13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2538465"},{"key":"c14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.07.007"},{"article-title":"Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound.","year":"2016","author":"Milletari","key":"c15"},{"key":"c16","first-page":"3431","article-title":"Fully convolutional networks for semantic segmentation.","author":"Long","year":"2015"},{"key":"c17","first-page":"675","article-title":"Caffe: Convolutional architecture for fast feature embedding.","author":"Jia","year":"2014"},{"key":"c18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"c19","first-page":"297","article-title":"Simultaneous detection and segmentation.","author":"Hariharan","year":"2014"},{"key":"c20","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"Yosinski","year":"2014"},{"key":"c21","first-page":"818","article-title":"Visualizing and understanding convolutional networks.","author":"Zeiler","year":"2014"},{"key":"c22","first-page":"PS4","article-title":"Automatic liver and lesions segmentation using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields.","author":"Ferdinand","year":"2016"},{"key":"c23","first-page":"3642","article-title":"Multi-column deep neural networks for image classification.","author":"Ciregan","year":"2012"},{"key":"c24","doi-asserted-by":"crossref","DOI":"10.1109\/3DV.2016.79","article-title":"V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation.","author":"Milletari","year":"2016"},{"key":"c25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2496296"},{"key":"c26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2013.12.002"},{"key":"c27","doi-asserted-by":"publisher","DOI":"10.1118\/1.4709607"},{"key":"c28","doi-asserted-by":"publisher","DOI":"10.1118\/1.4754654"},{"key":"c29","doi-asserted-by":"publisher","DOI":"10.1118\/1.3665704"}],"event":{"name":"SPIE Medical Imaging","location":"Orlando, Florida, United States"},"container-title":["SPIE Proceedings","Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling"],"original-title":[],"deposited":{"date-parts":[[2018,9,27]],"date-time":"2018-09-27T04:47:35Z","timestamp":1538023655000},"score":1,"resource":{"primary":{"URL":"http:\/\/proceedings.spiedigitallibrary.org\/proceeding.aspx?doi=10.1117\/12.2254621"}},"subtitle":[],"editor":[{"given":"Robert J.","family":"Webster","sequence":"first","affiliation":[{"name":"Vanderbilt Univ. (United States)"}],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Baowei","family":"Fei","sequence":"additional","affiliation":[{"name":"Emory Univ. (United States)"}],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2017,3,3]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1117\/12.2254621","relation":{},"ISSN":["0277-786X"],"issn-type":[{"type":"print","value":"0277-786X"}],"subject":[],"published":{"date-parts":[[2017,3,3]]}}}