Introduction
What this guide covers
Introduction Technical and Practical Treatise
Overview
Topics covered
- Introduction
- Medical Artificial Intelligence: Clinical Implementation and Future
- Applied mathematics, statistics and optimization fundamentals in Medical AI
- 1.1 Mathematical formulation of clinical loss functions
- 1.2 Probabilistic calibration of clinical models
- Deep learning architectures in medicine: CNNs, Transformers and generative models
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
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L_{Focal}(p_t) = -\alpha_t (1 - p_t)^\gamma \log(p_t)