ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans

COVID-19 detection in lung CT slices using Brownian-butterfly-algorithm optimized lightweight deep features

“…The literature evidents that the COVID-19 caused a large infection and death rate globally from year 2019 to till date. The earlier research related to the COVID-19 confirms that the Articifial Intelligence (AI) schemes played a vital role in screening, modelling and decision making process during the disease spread and still a number of AI schemes are used in clinics for COVID-19 infection examination tasks [ [2] , [3] , [4] , [5] ]. The common clinical practice involved in COVID-19 detection involves in; symptom examination, sample collection, Reverse Transcription-Polymerase Chain Reaction (RT-PCR) test for initial diagnosis and medical-imaging assisted confirmation of the infection and its severity [ [6] , [7] , [8] ].…”