TY  - BOOK
AU  - Ahmed,Ammar
AU  - Picone,Joseph
ED  - SpringerLink (Online service)
TI  - Machine Learning Applications in Medicine and Biology
SN  - 9783031518935
AV  - R856-857 
U1  - 610.28 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Biomedical engineering
KW  - Imaging systems in biology
KW  - Machine learning
KW  - Signal processing
KW  - Biomedical Engineering and Bioengineering
KW  - Biological Imaging
KW  - Machine Learning
KW  - Biomedical Devices and Instrumentation
KW  - Digital and Analog Signal Processing
N1  - Introduction -- Signal and Image Analysis (EEG, ECG, MRI) -- Machine Learning -- Data Mining and Classification -- Big Data -- Index
N2  - This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the life sciences. Topics covered include: Signal and image analysis (EEG, ECG, MRI) Machine learning Data mining and classification Big data resources Applications of particular interest at the 2022 symposium included digital pathology, computational biology, and quantum computing. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers in signal processing, medicine, and biology. Presents an interdisciplinary look at research trends; Promotes collaboration between practitioners and researchers; Includes tutorials and examples of successful applications.
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-51893-5
ER  -