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20182025
most citedReal-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

405 citations · 475 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV202219 cited

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…

cs.CV20219 cited

A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation

Debesh Jha, Pia H. Smedsrud, Dag Johansen +4

Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high overall miss-rate, an…

cs.CV2021

LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification

Debesh Jha, Anis Yazidi, Michael A. Riegler +3

Deep Neural Networks (DNNs) have become the de-facto standard in computer vision, as well as in many other pattern recognition tasks. A key drawback of DNNs is that the training ph…

cs.CV2020405 cited

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…

cs.CV2020

Robust Medical Instrument Segmentation Challenge 2019

Tobias Ross, Annika Reinke, Peter M. Full +47

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tr…