2k citations · 2.1k across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 90 cited
Trends in deep learning for medical hyperspectral image analysis
Uzair Khan, Paheding Sidike, Colin Elkin +1
Deep learning algorithms have seen acute growth of interest in their applications throughout several fields of interest in the last decade, with medical hyperspectral imaging being…
eess.IV2020★ 2k cited
U-Net and its variants for medical image segmentation: theory and applications
Nahian Siddique, Paheding Sidike, Colin Elkin +1
U-net is an image segmentation technique developed primarily for medical image analysis that can precisely segment images using a scarce amount of training data. These traits provi…