- Covers common research problems in medical image analysis and their challenges
- Describes the latest deep learning methods and the theories behind approaches for medical image analysis
- Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment
- Includes a Foreword written by Nicholas Ayache
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