Medical Imaging - Artificial Intelligence, Image Recognition, and Machine Learning Techniques (Hardcover)

Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	August 2019
First published:	2020
Editors:	K. C. Santosh • Sameer Antani • D S Guru • Nilanjan Dey
Dimensions:	234 x 156 x 14mm (L x W x T)
Format:	Hardcover
Pages:	238
ISBN-13:	978-0-367-13961-2
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General
LSN:	0-367-13961-8
Barcode:	9780367139612

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