Aug 7, 2024 · We propose a novel unsupervised gradient-weighted class activation mapping (Grad-CAM) strategy to roughly locate lesions, thereby suppressing or even ...

Dec 31, 2023 · To address this issue, we propose a novel unsupervised gradient-weighted class activation mapping (Grad-CAM) strategy to roughly locate lesions, ...

Oct 22, 2024 · As shown, the top-1 accuracy for the Linear evaluation is 79.1%. We add four CLS tokens to the embedding space sequence for the ViT-S/8 ...

May 9, 2024 · 这些病变在随机裁剪后可能会被遗漏，导致语义不一致的阳性对，从而阻碍对比学习在视网膜疾病诊断中的有效性。为了解决这个问题，我们提出了一种新的无监督 ...

Retinal disease diagnosis with unsupervised Grad-CAM guided contrastive learning · Author Picture Zhongchen Zhao,; Author Picture Huai Chen,; + 5. https://doi ...

Sep 13, 2023 · Specifically, RETFound is trained on 1.6 million unlabelled retinal images by means of self-supervised learning and then adapted to disease ...

Self-supervised contrastive learning has been explored to learn feature representations from unlabeled images. However, unlike natural images, the application ...

Apr 13, 2023 · We have developed a self-supervised contrastive learning (CL) based pipeline for classification of referable vs non-referable DR.

Retinal disease diagnosis with unsupervised Grad-CAM guided contrastive learning · Zhongchen ZhaoHuai Chen +4 authors. Lisheng Wang. Medicine, Computer Science.

Retinal disease diagnosis with unsupervised Grad-CAM guided contrastive learning · hmtl icon · Published: 31 Dec 2023, Last Modified: 12 Nov 2024 · Neurocomputing ...