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09/07/2023
Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models
Recent advances in attention-based multiple instance learning (MIL) have...
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02/01/2022
A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples
Multiplexed immunofluorescence provides an unprecedented opportunity for...
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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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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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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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10/06/2020
Microscopic fine-grained instance classification through deep attention
Fine-grained classification of microscopic image data with limited sampl...
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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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09/02/2019
Semantic filtering through deep source separation on microscopy images
By their very nature microscopy images of cells and tissues consist of a...
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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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06/11/2018
