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09/26/2022
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
State-of-the-art (SOTA) deep learning mammogram classifiers, trained wit...
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09/21/2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
When analysing screening mammograms, radiologists can naturally process ...
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03/28/2022
Translation Consistent Semi-supervised Segmentation for 3D Medical Images
3D medical image segmentation methods have been successful, but their de...
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03/03/2022
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification
Deep learning methods have shown outstanding classification accuracy in ...
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11/25/2021
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification
Effective semi-supervised learning (SSL) in medical im-age analysis (MIA...
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11/25/2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Consistency learning using input image, feature, or network perturbation...
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06/10/2021
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training
Minimally invasive surgery (MIS) has many documented advantages, but the...
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03/06/2021
Noisy Label Learning for Large-scale Medical Image Classification
The classification accuracy of deep learning models depends not only on ...
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03/05/2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
The training of deep learning models generally requires a large amount o...
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03/05/2021
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Unsupervised anomaly detection (UAD) learns one-class classifiers exclus...
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07/05/2020
