Contrastive learning based vision-language joint pre-training has emerge...
The quality of a fundus image can be compromised by numerous factors, ma...
Medical image quality assessment (MIQA) is a vital prerequisite in vario...
Self-supervised learning (SSL) has been widely applied to learn image
re...
Convolutional neural networks have been widely applied to medical image
...
Due to the high cost of manually annotating medical images, especially f...
Although deep learning based diabetic retinopathy (DR) classification me...
Manually annotating medical images is extremely expensive, especially fo...
Optical coherence tomography angiography (OCTA) is a novel non-invasive
...