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Explore a comprehensive tutorial on bone age detection from hand X-rays using deep learning techniques. Delve into the application of machine learning in healthcare as part of the "Machine Learning for Health and Disease" program. Learn how to harness modern computational methods to analyze medical imaging data, specifically focusing on hand X-rays for bone age assessment. Gain insights into deep learning algorithms and their implementation in radiology. Understand the process of developing and training models to accurately determine bone age from X-ray images, a crucial task in pediatric endocrinology and orthopedics. Discover the potential of AI-driven solutions in improving diagnostic accuracy and efficiency in medical imaging. This tutorial, presented by Pranay Goel, offers a practical approach to applying deep learning in a specific medical context, bridging the gap between computational expertise and clinical applications.
