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The document provides an overview of Deep Learning (DL) in the context of medical imaging, particularly for cancer research. It contrasts DL with traditional Machine Learning (ML), highlighting differences in feature extraction, data requirements, and computational power. The document also discusses the importance of public datasets for training DL models and the challenges of obtaining labeled medical data.

Author

thescopsowl

Language

EN