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06/08/2021
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment
Polyps in the colon are widely known as cancer precursors identified by ...
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06/06/2021
Few-shot segmentation of medical images based on meta-learning with implicit gradients
Classical supervised methods commonly used often suffer from the require...
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05/16/2021
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Methods based on convolutional neural networks have improved the perform...
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04/22/2021
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
Deep learning in gastrointestinal endoscopy can assist to improve clinic...
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04/02/2021
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy
Kidney stones represent a considerable burden for public health-care sys...
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03/31/2021
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
With the increase in available large clinical and experimental datasets,...
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03/30/2021
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
Image-based tracking of laparoscopic instruments plays a fundamental rol...
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12/30/2020
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
Colonoscopy is the gold standard for examination and detection of colore...
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12/09/2020
Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation
Barrett's oesophagus (BE) is one of the early indicators of esophageal c...
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11/15/2020
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning
Computer-aided detection, localisation, and segmentation methods can hel...
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03/23/2020
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Endoscopy is a widely used imaging modality to diagnose and treat diseas...
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03/07/2020
Endoscopy disease detection challenge 2020
Whilst many technologies are built around endoscopy, there is a need to ...
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08/16/2019
Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping
Recent successes in deep learning based deformable image registration (D...
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05/10/2019
Ink removal from histopathology whole slide images by combining classification, detection and image generation models
Histopathology slides are routinely marked by pathologists using permane...
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05/10/2019
Efficient video indexing for monitoring disease activity and progression in the upper gastrointestinal tract
Endoscopy is a routine imaging technique used for both diagnosis and min...
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05/08/2019
Endoscopy artifact detection (EAD 2019) challenge dataset
Endoscopic artifacts are a core challenge in facilitating the diagnosis ...
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04/15/2019
A deep learning framework for quality assessment and restoration in video endoscopy
Endoscopy is a routine imaging technique used for both diagnosis and min...
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07/29/2018
