Deep Learners and Deep Learner Descriptors for Medical Applications

Deep Learners and Deep Learner Descriptors for Medical Applications

Loris Nanni , Sheryl Brahnam , Rick Brattin
Pas encore d'évaluations
May 16, 2020 · Anglais · Relié (295 pages)
Ajouter à l'étagère

Évaluer ce livre


Exporter le journal de lecture

Détails du livre

Format Relié
Pages 295
Langue Anglais
Publié May 16, 2020
Éditeur Springer
Édition 1st ed. 2020
ISBN-10 303042748X
ISBN-13 9783030427481

Description

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.

Genres

Science & Technologie
Ajouter à l'étagère

Évaluer ce livre


Exporter le journal de lecture