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06/26/2023
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
Magnetic resonance imaging (MRI) is commonly used for brain tumor segmen...
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06/23/2023
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images
The emerging scale segmentation model, Segment Anything (SAM), exhibits ...
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06/06/2023
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
Recent advances in denoising diffusion probabilistic models have shown g...
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05/31/2023
Additional Positive Enables Better Representation Learning for Medical Images
This paper presents a new way to identify additional positive pairs for ...
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11/15/2022
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation
Self-supervised instance discrimination is an effective contrastive pret...
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07/27/2022
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation
This work presents a novel framework CISFA (Contrastive Image synthesis ...
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09/27/2021
Context-guided Triple Matching for Multiple Choice Question Answering
The task of multiple choice question answering (MCQA) refers to identify...
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09/15/2021
Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation
The success of deep learning methods in medical image segmentation tasks...
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06/16/2021