{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T04:08:19Z","timestamp":1747886899559,"version":"3.41.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T00:00:00Z","timestamp":1739750400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T00:00:00Z","timestamp":1739750400000},"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":[[2025,2,17]]},"DOI":"10.1109\/ssd64182.2025.10989927","type":"proceedings-article","created":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T17:05:31Z","timestamp":1747760731000},"page":"1009-1014","source":"Crossref","is-referenced-by-count":0,"title":["Lung Disease Classification in X-ray Images using a Modified Deep Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Ines","family":"Chouat","sequence":"first","affiliation":[{"name":"National Engineering School of Sfax (ENIS), Sfax University,Advanced Technologies for Medicine and Signals Laboratory &#x2018;ATMS&#x2019;,Sfax,Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amira","family":"Echtioui","sequence":"additional","affiliation":[{"name":"National Engineering School of Sfax (ENIS), Sfax University,Advanced Technologies for Medicine and Signals Laboratory &#x2018;ATMS&#x2019;,Sfax,Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Ghorbel","sequence":"additional","affiliation":[{"name":"National Engineering School of Sfax (ENIS), Sfax University,Advanced Technologies for Medicine and Signals Laboratory &#x2018;ATMS&#x2019;,Sfax,Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.11.013"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1201\/9781003089384-14"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/24745332.2020.1726231"},{"issue":"1","key":"ref4","first-page":"3","article-title":"Discrepancy and error in radiology: concepts, causes and consequences","volume":"81","author":"Brady","year":"2012","journal-title":"Ulster Med J."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.10.027"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93000-8_62"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_46"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59725-2_51"},{"key":"ref9","article-title":"Lung segmentation in chest X-rays with RES-CR-Net","author":"Abdulah","year":"2020","journal-title":"arXiv preprint"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105581"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.health.2023.100216"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1007\/s00521-024-10527-1","article-title":"Lung disease classification using deep learning and genetic algorithm","author":"Chutia","year":"2024","journal-title":"Neural Comput. & Applic."},{"key":"ref13","doi-asserted-by":"crossref","first-page":"4756","DOI":"10.1007\/s10489-024-05420-2","article-title":"A novel lightweight CNN for chest X-ray-based lung disease identification on heterogeneous embedded systems","volume":"54","author":"Sanida","year":"2024","journal-title":"Appl Intell"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1007\/s42979-023-01818-w","article-title":"Deep learning methods for chest disease detection using radiography images","volume":"4","author":"Nasser","year":"2023","journal-title":"SN Comput. Sci."},{"key":"ref15","doi-asserted-by":"crossref","first-page":"38561","DOI":"10.1007\/s11042-023-15047-z","article-title":"RETRACTED ARTICLE: Automatic lung disease classification from chest X -ray images using hybrid deep learning algorithm","volume":"82","author":"Farhan","year":"2023","journal-title":"Multimed Tools Appl."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-021-07715-1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8828855"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1101\/2020.04.11.20054643"},{"journal-title":"Deep convolutional neural networks to diagnose COVID-19 and other pneumonia diseases from posteroanterior chest X-Rays","year":"2020","author":"Moutounet-Cartan","key":"ref19"},{"journal-title":"COVIDX-net: A framework of deep learning classifiers to diagnose COVID-19 in X-ray images","year":"2020","author":"Hemdan","key":"ref20"}],"event":{"name":"2025 IEEE 22nd International Multi-Conference on Systems, Signals &amp; Devices (SSD)","start":{"date-parts":[[2025,2,17]]},"location":"Monastir, Tunisia","end":{"date-parts":[[2025,2,20]]}},"container-title":["2025 IEEE 22nd International Multi-Conference on Systems, Signals &amp;amp; Devices (SSD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10989785\/10989811\/10989927.pdf?arnumber=10989927","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T06:12:16Z","timestamp":1747807936000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10989927\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,17]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/ssd64182.2025.10989927","relation":{},"subject":[],"published":{"date-parts":[[2025,2,17]]}}}