{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:23:26Z","timestamp":1740101006158,"version":"3.37.3"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102086"],"award-info":[{"award-number":["62102086"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892157","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["A Bi-branch Dark Channel Differential Convolutional Neural Network for Occupational Pneumoconiosis Staging"],"prefix":"10.1109","author":[{"given":"Qianhao","family":"Luo","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Dongguan University of Technology,Dongguan,Guangdong,China"}]},{"given":"Xin","family":"Liu","sequence":"additional","affiliation":[{"name":"Chongqing prevention and treatment center for occupational diseases,Department of Occupational Disease,Chongqing,China"}]},{"given":"Huaqiang","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dongguan University of Technology,Dongguan,Guangdong,China"}]},{"given":"Xiaojian","family":"Wang","sequence":"additional","affiliation":[{"name":"Chongqing prevention and treatment center for occupational diseases,Department of Diagnostic Imaging,Chongqing,China"}]},{"given":"Yongyi","family":"Wang","sequence":"additional","affiliation":[{"name":"Chongqing prevention and treatment center for occupational diseases,Department of Occupational Disease,Chongqing,China"}]},{"given":"Wei","family":"He","sequence":"additional","affiliation":[{"name":"Chongqing prevention and treatment center for occupational diseases,Department of Occupational Disease,Chongqing,China"}]},{"given":"Weiling","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dongguan University of Technology,Dongguan,Guangdong,China"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2875452"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3014302"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3125252"},{"key":"ref30","first-page":"807","article-title":"Rectified Linear Units Improve Restricted Boltzmann Machines","author":"nair","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref10","article-title":"Convolutional deep belief networks on cifar-10","author":"krizhevsky","year":"2010","journal-title":"Unpublished manuscript"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s44196-021-00046-5"},{"key":"ref12","volume":"31999","author":"bracewell","year":"1986","journal-title":"The Fourier Transform and Its Applications"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.18444"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1097\/01.jom.0000188277.15721.22"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.12669\/pjms.326.11267"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3002762"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002686"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5588\/ijtld.17.0492"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3033324"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3071392"},{"key":"ref3","first-page":"248","volume":"127","author":"gonzalez","year":"2016","journal-title":"Representation learning for mammography mass lesion classification with Convolutional Neural Networks"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.2018.304517"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2022.3177316"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-77924-z"},{"key":"ref8","first-page":"178","article-title":"Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories","author":"li","year":"0","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition Workshop"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s12194-013-0255-9"},{"key":"ref2","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref1","first-page":"2341","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"he","year":"2010","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.06.034"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360671"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00180-9"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587643"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.855874"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2884191"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3132503"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892157.pdf?arnumber=9892157","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:59:25Z","timestamp":1667516365000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892157\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892157","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}