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

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.

Copyright:

2025

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783031880247

Related ISBNs:

9783031880230

Publisher:

Springer Nature Switzerland

Date of Addition:

09/19/25

Copyrighted By:

The Editor

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Science, Computers and Internet, Technology, Mathematics and Statistics, Medicine

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Ammar Ahmed

Edited by:

Joseph Picone