{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T02:24:09Z","timestamp":1777429449618,"version":"3.51.4"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFC0114500"],"award-info":[{"award-number":["2018YFC0114500"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2971281","type":"journal-article","created":{"date-parts":[[2020,2,3]],"date-time":"2020-02-03T20:41:57Z","timestamp":1580762517000},"page":"38517-38527","source":"Crossref","is-referenced-by-count":13,"title":["Multi-Type Interdependent Feature Analysis Based on Hybrid Neural Networks for Computer-Aided Diagnosis of Epidermal Growth Factor Receptor Mutations"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0836-8179","authenticated-orcid":false,"given":"Ruoxi","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8775-7481","authenticated-orcid":false,"given":"Zhenzhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7057-9562","authenticated-orcid":false,"given":"Kai","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3767-8152","authenticated-orcid":false,"given":"Jinjin","family":"Hai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5967-3021","authenticated-orcid":false,"given":"Lingyun","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2135-8752","authenticated-orcid":false,"given":"Jian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6742-5116","authenticated-orcid":false,"given":"Xilong","family":"Pei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2561-7475","authenticated-orcid":false,"given":"Dapeng","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0393-9641","authenticated-orcid":false,"given":"Bin","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017616"},{"key":"ref38","article-title":"Gated multimodal units for information fusion","author":"arevalo","year":"2017","journal-title":"arXiv 1702 01992"},{"key":"ref33","article-title":"Attention-gated networks for improving ultrasound scan plane detection","author":"schlemper","year":"2018","journal-title":"arXiv 1804 05338"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6535-y"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0107-6"},{"key":"ref30","first-page":"4700","article-title":"Densely connected convolutional networks","author":"gao","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.9734\/JAMMR\/2018\/40784"},{"key":"ref36","first-page":"67","article-title":"Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations","volume":"19","author":"zhu","year":"2010","journal-title":"NESUG proceedings health care and life sciences"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref34","first-page":"562","article-title":"Deeply-supervised nets","author":"lee","year":"2015","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1056\/NEJMoa050753","article-title":"Erlotinib in previously treated non-small-cell lung cancer","volume":"353","author":"fa","year":"2005","journal-title":"New England J Med"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04277-5_18"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1001\/jama.290.16.2149"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1097\/01243894-200606000-00006"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2016151455"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nrclinonc.2017.141"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms5006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.13130663"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cllc.2016.02.001"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-016-4252-3"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-014-3516-z"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2017.8227454"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2012.45.3753"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2019.01.005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2007.14.8494"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/COC.0b013e31826e04f9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363687"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(11)70184-X"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1183\/09031936.00010111"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1259\/bjr\/77245199"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2012.44.2806"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoncol.2016.2631"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21442"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-17-0339"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-17-0122"},{"key":"ref24","article-title":"Computer aided lung cancer diagnosis with deep learning algorithms","volume":"9785","author":"sun","year":"2016","journal-title":"Proc SPIE"},{"key":"ref23","first-page":"79","article-title":"Efficient lung cancer cell detection with deep convolution neural network","author":"xu","year":"2016","journal-title":"Proc Int Workshop Patch-Based Techn Med Imag"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1183\/13993003.00986-2018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IC3I.2016.7918014"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08979442.pdf?arnumber=8979442","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:51:22Z","timestamp":1639770682000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8979442\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2971281","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}