{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10"],"submitter":["Mondal AK"],"pubmed_abstract":["<i>Objective:</i> Since its outbreak, the rapid spread of COrona VIrus Disease 2019 (COVID-19) across the globe has pushed the health care system in many countries to the verge of collapse. Therefore, it is imperative to correctly identify COVID-19 positive patients and isolate them as soon as possible to contain the spread of the disease and reduce the ongoing burden on the healthcare system. The primary COVID-19 screening test, RT-PCR although accurate and reliable, has a long turn-around time. In the recent past, several researchers have demonstrated the use of Deep Learning (DL) methods on chest radiography (such as X-ray and CT) for COVID-19 detection. However, existing CNN based DL methods fail to capture the global context due to their inherent image-specific inductive bias. <i>Meth"],"journal":["IEEE journal of translational engineering in health and medicine"],"pagination":["1100110"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8691725"],"repository":["biostudies-literature"],"pubmed_title":["xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography."],"pmcid":["PMC8691725"],"pubmed_authors":["Bhattacharjee A","Mondal AK","Singla P","Prathosh AP"],"additional_accession":[]},"is_claimable":false,"name":"xViTCOS: Explainable Vision Transformer Based COVID-19 Screening Using Radiography.","description":"<i>Objective:</i> Since its outbreak, the rapid spread of COrona VIrus Disease 2019 (COVID-19) across the globe has pushed the health care system in many countries to the verge of collapse. Therefore, it is imperative to correctly identify COVID-19 positive patients and isolate them as soon as possible to contain the spread of the disease and reduce the ongoing burden on the healthcare system. The primary COVID-19 screening test, RT-PCR although accurate and reliable, has a long turn-around time. In the recent past, several researchers have demonstrated the use of Deep Learning (DL) methods on chest radiography (such as X-ray and CT) for COVID-19 detection. However, existing CNN based DL methods fail to capture the global context due to their inherent image-specific inductive bias. <i>Meth","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-05-29T22:25:23.075Z","creation":"2025-04-04T03:19:37.485Z"},"accession":"S-EPMC8691725","cross_references":{"pubmed":["34956741"],"doi":["10.1109/JTEHM.2021.3134096"]}}