Explore strategies for integrating deep learning with current biomedical research in this 19-minute conference talk from the Computational Genomics Summer Institute (CGSI). Delve into cutting-edge applications of machine learning in medical imaging, focusing on automated identification of clinical features from 3D scans, prediction of age-related macular degeneration progression, and detection of retinal atrophy. Learn how contrastive learning techniques are being applied to visual representations in biomedical contexts. Gain insights from recent research papers that demonstrate the potential of deep learning to revolutionize diagnostic processes and enhance understanding of complex medical conditions.
Strategies for Integrating Deep Learning with Current Biomedical Research
Computational Genomics Summer Institute CGSI via YouTube
Overview
Syllabus
Jeffrey Chiang | Strategies for Integrating Deep Learning with Current Biomedical Research | CGSI 23
Taught by
Computational Genomics Summer Institute CGSI
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