A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104837
Abstract: Coronavirus disease 2019 (COVID-19) has caused more than 3 million deaths and infected more than 170 million individuals all over the world. Rapid identification of patients with COVID-19 is the key to control transmission and… read more here.
Keywords: depthwise separable; attention module; network; block attention ... See more keywords
Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3265729
Abstract: The presence of high blood sugar levels damages blood vessels and causes an eye condition called diabetic retinopathy. The ophthalmologist can detect this disease by looking at the variations in retinal blood vasculature. Manual segmentation… read more here.
Keywords: retinal vessels; segmentation; block attention; model ... See more keywords