outputs/Background and Literature survey of Medical Image Analysis Im going to use CNN and RNN as models/research-7090681488745839375.txt

[{"title": "Recent advances and clinical applications of deep learning in medical image analysis ", "href": "https://pubmed.ncbi.nlm.nih.gov/35472844/", "body": "Recent advances and clinical applications of deep learning in medical image analysis Med Image Anal. 2022 Jul;79:102444. doi: 10.1016/j ... Despite the success, the further improvement of deep learning models in medical image analysis is majorly bottlenecked by the lack of large-sized and well-annotated datasets. In the past five years, many ..."}, {"title": "Recent advances and clinical applications of deep learning in medical ...", "href": "https://arxiv.org/abs/2105.13381v3", "body": "Despite the success, the further improvement of deep learning models in medical image analysis is majorly bottlenecked by the lack of large-sized and well-annotated datasets. In the past five years, many studies have focused on addressing this challenge. In this paper, we reviewed and summarized these recent studies to provide a comprehensive ..."}, {"title": "Self-supervised learning for medical image classification: a ... - Nature", "href": "https://www.nature.com/articles/s41746-023-00811-0", "body": "Advancements in deep learning and computer vision provide promising solutions for medical image analysis, potentially improving healthcare and patient outcomes."}]