18 citations · 18 across the 1 of their papers we have counts for
3 papers
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Debesh Jha, Michael A. Riegler, Dag Johansen +2
Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a pop…
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
Pixel-wise image segmentation is a highly demanding task in medical-image analysis. In practice, it is difficult to find annotated medical images with corresponding segmentation ma…
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha, Pia H. Smedsrud, Michael A. Riegler +4
Accurate computer-aided polyp detection and segmentation during colonoscopy examinations can help endoscopists resect abnormal tissue and thereby decrease chances of polyps growing…