{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T06:25:56Z","timestamp":1766298356280,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T00:00:00Z","timestamp":1627257600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T00:00:00Z","timestamp":1627257600000},"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":[[2021,7,26]]},"DOI":"10.1109\/tsp52935.2021.9522634","type":"proceedings-article","created":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T23:12:50Z","timestamp":1630365170000},"page":"88-91","source":"Crossref","is-referenced-by-count":16,"title":["Comparative Study for Tuberculosis Detection by Using Deep Learning"],"prefix":"10.1109","author":[{"given":"Busra Kubra","family":"Karaca","sequence":"first","affiliation":[{"name":"Baskent University,Department of Biomedical Engineering,Ankara,Turkey"}]},{"given":"Selda","family":"Guney","sequence":"additional","affiliation":[{"name":"Baskent University,Department of Electrical and Electronics Engineering,Ankara,Turkey"}]},{"given":"Berna","family":"Dengiz","sequence":"additional","affiliation":[{"name":"Baskent University,Department of Industrial Engineering,Ankara,Turkey"}]},{"given":"Muhtesem","family":"Agildere","sequence":"additional","affiliation":[{"name":"Baskent University,Department of Radiology,Ankara,Turkey"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/app10175749"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"102252b","DOI":"10.1117\/12.2266795","article-title":"Detection of tuberculosis using hybrid features from chest radiographs","volume":"10225","author":"fatima","year":"2017","journal-title":"Eighth Int Conf Graph Image Process (ICGIP 2016)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113514"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2970023"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-42557-4"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"97852w","DOI":"10.1117\/12.2216198","article-title":"A novel approach for tuberculosis screening based on deep convolutional neural networks","volume":"9785","author":"hwang","year":"2016","journal-title":"Medical Imaging 2016 Computer-Aided Diagnosis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.08.001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCES.2018.8639200"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICT.2019.8798798"},{"key":"ref19","volume":"11432","author":"ho","year":"2019","journal-title":"Utilizing Pretrained Deep Learning Models for Automated Pulmonary Tuberculosis Detection Using Chest Radiography"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9030871"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-0991-9"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.bspc.2021.102571","article-title":"Detection of multiple sclerosis from photic stimulation EEG signals","volume":"67","author":"karaca","year":"2021","journal-title":"Biomed Signal Process Control"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WiSPNET.2016.7566243"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9205082"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIPA.2017.8120663"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3028390"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2020.e04614"},{"article-title":"Global Tuberculosis Report","year":"2020","author":"organization","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics10060417"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1063\/1.5096734"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/app10093233"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12530-019-09316-2"},{"key":"ref21","first-page":"1","article-title":"Comparative Study of Fine-Tuning of Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Screening","author":"mohammadian","year":"2018","journal-title":"2017 24th Iran Conf Biomed Eng 2017 2nd Int Iran Conf Biomed Eng ICBME 2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2946000"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3564-4"},{"journal-title":"Pattern Classification","year":"2001","author":"duda","key":"ref25"}],"event":{"name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","start":{"date-parts":[[2021,7,26]]},"location":"Brno, Czech Republic","end":{"date-parts":[[2021,7,28]]}},"container-title":["2021 44th International Conference on Telecommunications and Signal Processing (TSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9522010\/9522587\/09522634.pdf?arnumber=9522634","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:16:07Z","timestamp":1659485767000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9522634\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,26]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/tsp52935.2021.9522634","relation":{},"subject":[],"published":{"date-parts":[[2021,7,26]]}}}