{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:24:16Z","timestamp":1755998656966,"version":"3.28.0"},"reference-count":11,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/dicta.2017.8227454","type":"proceedings-article","created":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T20:19:08Z","timestamp":1513887548000},"page":"1-6","source":"Crossref","is-referenced-by-count":14,"title":["Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection"],"prefix":"10.1109","author":[{"given":"Taolin","family":"Jin","sequence":"first","affiliation":[]},{"given":"Hui","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Shan","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Xiuying","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","first-page":"1097","article-title":"ImageNet Classification with Deep Convolutional Neural Networks","author":"krizhevsky","year":"2012","journal-title":"presented at the Neural Information Processing Systems (NIPS)"},{"key":"ref3","first-page":"271","article-title":"Early Lung Cancer Detection, Mucosal, and Alveolar Imaging","volume":"22","author":"islam","year":"2016","journal-title":"Interventional pulmonology"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-012-0767-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22206"},{"key":"ref11","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"journal-title":"Data Science Bowl 2017","year":"2017","key":"ref8"},{"key":"ref7","article-title":"Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data","author":"kim","year":"2016","journal-title":"presented at the Proc SPIE 9785 Medical Imaging 2016 Computer-Aided Diagnosis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjmed.2013.12.023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-5225-0571-6.ch023"},{"journal-title":"Lung cancer statistics","year":"2017","author":"government","key":"ref1"}],"event":{"name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","start":{"date-parts":[[2017,11,29]]},"location":"Sydney, NSW","end":{"date-parts":[[2017,12,1]]}},"container-title":["2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8226656\/8227375\/08227454.pdf?arnumber=8227454","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,1,29]],"date-time":"2018-01-29T17:15:42Z","timestamp":1517246142000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8227454\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/dicta.2017.8227454","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}