Deep Learners and Deep Learner Descriptors for Medical Applications

Deep Learners and Deep Learner Descriptors for Medical Applications

Loris Nanni , Sheryl Brahnam , Rick Brattin
还没有评分
May 16, 2020 · 英语 · 精装书 (295 页数)
加入书架

评价这本书


导出书籍日志

书籍详情

格式 精装书
页数 295
语言 英语
已发布 May 16, 2020
出版商 Springer
版本 1st ed. 2020
ISBN-10 303042748X
ISBN-13 9783030427481

描述

This book explores the innovative intersection of deep learning and medical applications, presenting a comprehensive examination of how advanced computational techniques can enhance healthcare practices. The authors delve into various algorithms and methodologies, providing insights into their practical implementations within the medical field. By examining deep learner descriptors, the work illustrates how these tools can significantly improve diagnostic accuracy and patient outcomes.

The collaborative effort of a diverse set of experts, the text offers a rich blend of theory and application, making it a valuable resource for researchers and professionals alike. It addresses both the challenges inherent in deploying deep learning solutions in medicine and the promising future these technologies hold. As healthcare increasingly integrates sophisticated algorithms, this work sheds light on the transformative potential of deep learners in addressing pressing medical issues.

类型

科学与技术
加入书架

评价这本书


导出书籍日志