29 citations · 123 across the 24 of their papers we have counts for
6 papers · 1 filter
DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentation
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci
Colorectal cancer (CRC) is the second leading cause of cancer-related death worldwide. Excision of polyps during colonoscopy helps reduce mortality and morbidity for CRC. Powered b…
Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci +1
The detection and removal of precancerous polyps through colonoscopy is the primary technique for the prevention of colorectal cancer worldwide. However, the miss rate of colorecta…
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation
Nikhil Kumar Tomar, Annie Shergill, Brandon Rieders +2
Colorectal cancer (CRC) is one of the most common causes of cancer and cancer-related mortality worldwide. Performing colon cancer screening in a timely fashion is the key to early…
Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network
Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci +1
Video capsule endoscopy is a hot topic in computer vision and medicine. Deep learning can have a positive impact on the future of video capsule endoscopy technology. It can improve…
TGANet: Text-guided attention for improved polyp segmentation
Nikhil Kumar Tomar, Debesh Jha, Ulas Bagci +1
Colonoscopy is a gold standard procedure but is highly operator-dependent. Automated polyp segmentation, a precancerous precursor, can minimize missed rates and timely treatment of…
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Sharib Ali, Noha Ghatwary, Debesh Jha +29
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and charac…