{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T17:50:13Z","timestamp":1755798613723},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,17]]},"DOI":"10.1109\/smc52423.2021.9658904","type":"proceedings-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T15:34:35Z","timestamp":1641483275000},"page":"3000-3005","source":"Crossref","is-referenced-by-count":3,"title":["Multi-Stage Optimization of Deep Learning Model to Detect Thoracic Complications"],"prefix":"10.1109","author":[{"given":"Rizwanul Hoque","family":"Ratul","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farah Anjum","family":"Husain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tajmim Hossain","family":"Purnata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rifat Alam","family":"Pomil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaima","family":"Khandoker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Zavid","family":"Parvez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2013.2284099"},{"journal-title":"Chest X-Ray","year":"2017","key":"ref11"},{"key":"ref12","article-title":"ChestXray 14 Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Disease","author":"wang","year":"2017","journal-title":"IEEE CVPR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1109\/CVPR.2017.243","article-title":"Densely Connected Convolutional Networks","author":"huang","year":"2017","journal-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"journal-title":"MIMIC-CXR A large publicly available database of labeled chest radiographs","year":"2019","author":"johnson","key":"ref15"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1109\/CVPR.2009.5206848","article-title":"ImageNet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition"},{"journal-title":"Learning to diagnose from scratch by exploiting dependencies among labels","year":"2017","author":"yao","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S1473-3099(01)00170-0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101846"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(97)06100-X"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2804799"},{"key":"ref5","article-title":"CheXNet: radiologist-level pneumonia detection on chest X-Rays with deep learning","author":"rajpurkar","year":"2017","journal-title":"Computer Vision and Pattern Recognition"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2806086"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-13469-3_88"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00943"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/014107687907200203"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.10"}],"event":{"name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2021,10,17]]},"location":"Melbourne, Australia","end":{"date-parts":[[2021,10,20]]}},"container-title":["2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9658572\/9658575\/09658904.pdf?arnumber=9658904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:56:25Z","timestamp":1652187385000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9658904\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,17]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/smc52423.2021.9658904","relation":{},"subject":[],"published":{"date-parts":[[2021,10,17]]}}}