Shypd.aiThe largest open index of AI toolsDeep-Learning-for-Medical-Applications is an open-source research and education tool that curates deep learning papers on medical image analysis. It classifies papers by technique and methodology, serving as a starting point for researchers.
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Deep-Learning-for-Medical-Applications is a comprehensive, open-source repository on GitHub, providing a curated list of deep learning papers specifically focused on medical image analysis. This resource is designed to be a valuable starting point for researchers and practitioners in the field of medical AI. It meticulously classifies papers based on their deep learning techniques (e.g., CNN, RNN, GAN) and learning methodologies, along with metadata such as imaging modality, area of interest, and clinical database. The collection includes papers published since 2015 from peer-reviewed journals and high-reputed conferences, as well as recent arXiv preprints. The repository offers shortcuts to understand common deep learning techniques and imaging modalities, making it easier to navigate the extensive list of research.
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