405 citations · 555 across the 18 of their papers we have counts for
6 papers · 1 filter
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Nikhil Kumar Tomar, Debesh Jha, Sharib Ali +4
Colonoscopy is the gold standard for examination and detection of colorectal polyps. Localization and delineation of polyps can play a vital role in treatment (e.g., surgical plann…
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
Debesh Jha, Steven A. Hicks, Krister Emanuelsen +5
Colorectal cancer is the third most common cause of cancer worldwide. According to Global cancer statistics 2018, the incidence of colorectal cancer is increasing in both developin…
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
Debesh Jha, Sharib Ali, Nikhil Kumar Tomar +5
Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and…
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Debesh Jha, Sharib Ali, Krister Emanuelsen +9
Gastrointestinal (GI) pathologies are periodically screened, biopsied, and resected using surgical tools. Usually the procedures and the treated or resected areas are not specifica…
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…
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer +4
Precise and efficient automated identification of Gastrointestinal (GI) tract diseases can help doctors treat more patients and improve the rate of disease detection and identifica…