Book Details
Format
Kindle
Pages
470
Language
English
Published
May 15, 2020
Publisher
Springer
Description
This book explores the innovative landscape of deep learning applications in the medical field, showcasing how advanced algorithms are reshaping diagnostics and patient care. The authors delve into the methodologies that underpin deep learning technologies, offering readers a comprehensive understanding of both the principles and practical implementations crucial for medical advancements.
It also presents a detailed analysis of deep learner descriptors, which serve as essential tools for enhancing machine learning models' accuracy and interpretability in healthcare settings. By merging theoretical insights with real-world applications, the authors aim to equip professionals and researchers with the knowledge needed to harness the power of deep learning in improving medical outcomes.
It also presents a detailed analysis of deep learner descriptors, which serve as essential tools for enhancing machine learning models' accuracy and interpretability in healthcare settings. By merging theoretical insights with real-world applications, the authors aim to equip professionals and researchers with the knowledge needed to harness the power of deep learning in improving medical outcomes.
Genres
Science & Technology