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20182022
most citedReal-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

405 citations · 510 across the 26 of their papers we have counts for

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11 papers · 1 filter

cs.CV2022

Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation

Birk Torpmann-Hagen, Vajira Thambawita, Kyrre Glette +2

Generalizability is seen as one of the major challenges in deep learning, in particular in the domain of medical imaging, where a change of hospital or in imaging routines can lead…

cs.CV20221 cited

Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos

Vladimir Monakhov, Vajira Thambawita, Pål Halvorsen +1

The interest for video anomaly detection systems has gained traction for the past few years. The current approaches use deep learning to perform anomaly detection in videos, but th…

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.CV20206 cited

Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus

Vajira Thambawita, Steven Hicks, Pål Halvorsen +1

Segmentation of findings in the gastrointestinal tract is a challenging but also an important task which is an important building stone for sufficient automatic decision support sy…