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07/24/2023
PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
Contrastive learning based vision-language joint pre-training has emerge...
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03/08/2023
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement
The quality of a fundus image can be compromised by numerous factors, ma...
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12/20/2022
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment
Medical image quality assessment (MIQA) is a vital prerequisite in vario...
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10/20/2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
Self-supervised learning (SSL) has been widely applied to learn image re...
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07/27/2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation
Convolutional neural networks have been widely applied to medical image ...
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03/12/2022
LesionPaste: One-Shot Anomaly Detection for Medical Images
Due to the high cost of manually annotating medical images, especially f...
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10/27/2021
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation
Although deep learning based diabetic retinopathy (DR) classification me...
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07/17/2021
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
Manually annotating medical images is extremely expensive, especially fo...
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07/10/2021
