most citedCovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2020★ 2 cited

CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans

Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah +1

Automatic lung lesions segmentation of chest CT scans is considered a pivotal stage towards accurate diagnosis and severity measurement of COVID-19. Traditional U-shaped encoder-de…