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04/08/2023
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
Identifying the type of kidney stones can allow urologists to determine ...
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04/06/2023
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning
This contribution presents a deep-learning method for extracting and fus...
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04/06/2023
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction
This contribution shows how an appropriate image pre-processing can impr...
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11/05/2022
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies
This contribution presents a deep learning method for the extraction and...
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10/26/2022
Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging
Endoscopy is the most widely used imaging technique for the diagnosis of...
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10/24/2022
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning
Knowing the cause of kidney stone formation is crucial to establish trea...
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07/06/2022
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models
Endoscopy is the most widely used medical technique for cancer and polyp...
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06/15/2022
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams
In this contribution we use an ensemble deep-learning method for combini...
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06/01/2022
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
Identifying the type of kidney stones can allow urologists to determine ...
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05/31/2022
Comparing feature fusion strategies for Deep Learning-based kidney stone identification
This contribution presents a deep-learning method for extracting and fus...
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05/02/2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
Deep learning has shown great promise in diverse areas of computer visio...
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01/21/2022
On the in vivo recognition of kidney stones using machine learning
Determining the type of kidney stones allows urologists to prescribe a t...
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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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03/01/2021
Assessing deep learning methods for the identification of kidney stones in endoscopic images
Knowing the type (i.e., the biochemical composition) of kidney stones is...
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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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05/08/2019
Endoscopy artifact detection (EAD 2019) challenge dataset
Endoscopic artifacts are a core challenge in facilitating the diagnosis ...
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04/29/2015