id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-6016	Payel Sengupta	Evaluating Modern CNN Architectures for Advancements in Healthcare Applications 	2025	17	.pdf	application/pdf	6354	300	33	Techniques like SimCLR (Simple Contrastive Learning of Representations) and BYOL (Bootstrap Your Own Latent) have shown promising results in pretraining medical CNNs for tasks like tumor detection or organ segmentation. Traditional CNNs typically require thousands of labeled images to achieve good performance, which is impractical for rare diseases or underserved populations.	cache/cana-6016.pdf	txt/cana-6016.txt