Signal Processing in Medicine and Biology: Applications of Deep Learning to the Health Sciences - Couverture souple

Couverture souple

ISBN 10 : 3031880269 ISBN 13 : 9783031880261

Editeur : Springer, 2026

Synopsis

Signal Processing in Medicine and Biology: Applications of Deep Learning to the Health Sciences presents expanded versions of selected papers from the 2023 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) at Temple University. The symposium presents multidisciplinary research across a wide range of topics in the life sciences. The Neural Engineering Data Consortium hosts the symposium to promote machine learning and big data applications in bioengineering.

Topics covered include:

• Signal and image analysis (e.g., EEG, ECG, MRI);
• Machine learning, data mining, and classification;
• Big data resources and applications;
• Applications of quantum computing;
• Digital pathology;
• Computational biology;
• Genomics, genetics, proteomics.

Applications of particular interest at the 2023 symposium included digital pathology, computational biology, genomics, genetics, and proteomics. The book features tutorials and examples of successful applications that will appeal to many professionals and researchers in signal processing, medicine, and biology. For students and professionals new to the field, the book offers an easy-to-understand introduction to various bioengineering topics. For professionals active in the field, it provides essential algorithmic details on valuable benchmarks for the technology. 

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 3031880269
• ISBN 13: 9783031880261
• Reliure: Broché
• Nombre de pages: 240
• Éditeur: Ahmed Ammar, Picone Joseph
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne