{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T00:29:43Z","timestamp":1724718583044},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T00:00:00Z","timestamp":1625529600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T00:00:00Z","timestamp":1625529600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,6]],"date-time":"2021-07-06T00:00:00Z","timestamp":1625529600000},"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":[[2021,7,6]]},"DOI":"10.1109\/icccnt51525.2021.9579917","type":"proceedings-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T19:29:48Z","timestamp":1635967788000},"source":"Crossref","is-referenced-by-count":1,"title":["A Convolutional Neural Network Model for Detecting COVID-19 from CT Scans"],"prefix":"10.1109","author":[{"given":"Swetha S.","family":"Shenoy","sequence":"first","affiliation":[]},{"given":"Shilpa K.","family":"Prabha","sequence":"additional","affiliation":[]},{"given":"Athira A.","family":"K","sequence":"additional","affiliation":[]},{"given":"Najitha","family":"Arangodan","sequence":"additional","affiliation":[]},{"given":"Jeena R.","family":"S","sequence":"additional","affiliation":[]},{"given":"Sreeni K.","family":"G","sequence":"additional","affiliation":[]},{"given":"Anurenjan P.","family":"R","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","article-title":"Covidx-net: A framework of deep learning classifiers to diagnose covid-19 in x-ray images","author":"hemdan","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIPTEKNO50054.2020.9299289"},{"key":"ref6","first-page":"341","article-title":"Chest x-ray pneumonia detection based on convolutional neural networks","author":"jiang","year":"0","journal-title":"2020 International Conference on Big Data Artificial Intelligence and Internet of Things Engineering (ICBAIE)"},{"key":"ref5","article-title":"Deep learning-based detection for covid-19 from chest ct using weak label","author":"zheng","year":"2020","journal-title":"medRxiv"},{"key":"ref8","article-title":"Covid-caps: A capsule network-based framework for identification of covid-19 cases from x-ray images","author":"afshar","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref7","article-title":"Automatic X-ray COVID-19 lung image classification system based on multi-level Thresholding and support vector machine","author":"hassanien","year":"2020","journal-title":"medRxiv"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103792"},{"key":"ref9","article-title":"A Deep Learning Algorithm using CT Images to Screen for Corona Virus Disease (COVID-19)","author":"wang","year":"2020","journal-title":"medRxiv"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200490"}],"event":{"name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","location":"Kharagpur, India","start":{"date-parts":[[2021,7,6]]},"end":{"date-parts":[[2021,7,8]]}},"container-title":["2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9579467\/9579470\/09579917.pdf?arnumber=9579917","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:43Z","timestamp":1652201743000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9579917\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,6]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/icccnt51525.2021.9579917","relation":{},"subject":[],"published":{"date-parts":[[2021,7,6]]}}}