Application of Deep Learning Methods in Healthcare and Medical Science (Hardcover)

The volume provides a wealth of up-to-date information on developments and applications of deep learning in healthcare and medicine, providing deep insight and understanding of novel applications that address the tough questions of disease diagnosis, prevention, and immunization. The volume looks at applications of deep learning for major medical challenges such as cancer detection and identification, birth asphyxia among neonates, kidney abnormalities, white blood cell segmentation, diabetic retinopathy detection, and Covid-19 diagnosis, prevention, and immunization. The volume discusses applications of deep learning in detection, diagnosis, intensive examination and evaluation, genomic sequencing, convolutional neural networks for image recognition and processing, and more for health issues such as kidney problems, brain tumors, lung damage, and breast cancer. The authors look at ML for brain tumor segmentation, in lung CT scans, in digital X-ray devices, and for logistic and transport systems for effective delivery of healthcare.

General

Imprint:	Apple Academic Press Inc.
Country of origin:	Canada
Release date:	December 2022
First published:	2023
Editors:	Rohit Tanwar • Prashant Kumar • Malay Kumar • Neha Nandal
Dimensions:	229 x 152mm (L x W)
Format:	Hardcover
Pages:	304
ISBN-13:	978-1-77491-120-4
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Children's & Educational > Science > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Professional & Technical > Mechanical engineering & materials > Materials science > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General Books > Children's Fiction & Fun
LSN:	1-77491-120-5
Barcode:	9781774911204

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