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05/08/2023
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition
Long-tailed multi-label visual recognition (LTML) task is a highly chall...
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04/08/2023
Towards Open-Scenario Semi-supervised Medical Image Classification
Semi-supervised learning (SSL) has attracted much attention since it red...
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04/04/2023
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition
Skin lesion recognition using deep learning has made remarkable progress...
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10/11/2022
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography
Usually, lesions are not isolated but are associated with the surroundin...
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09/16/2022
3D Matting: A Soft Segmentation Method Applied in Computed Tomography
Three-dimensional (3D) images, such as CT, MRI, and PET, are common in m...
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07/08/2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
Existing unsupervised domain adaptation methods based on adversarial lea...
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04/07/2022
Flexible Sampling for Long-tailed Skin Lesion Classification
Most of the medical tasks naturally exhibit a long-tailed distribution d...
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11/17/2021
Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation
In the real world, medical datasets often exhibit a long-tailed data dis...
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08/04/2021
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization
Retinal vessel segmentation plays a key role in computer-aided screening...
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06/18/2021
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty
In medical image segmentation, it is difficult to mark ambiguous areas a...
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04/22/2021
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
In the real world, medical datasets often exhibit a long-tailed data dis...
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02/28/2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation
Deep neural networks are known to be data-driven and label noise can hav...
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11/27/2020
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
Recently, ultra-widefield (UWF) 200-degree fundus imaging by Optos camer...
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03/24/2020
Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading
The need for comprehensive and automated screening methods for retinal i...
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03/23/2020