Medical Imaging

Artificial Intelligence, Image Recognition, and Machine Learning Techniques

Nilanjan Dey editor KC Santosh editor DS Guru editor Sameer Antani editor

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:28th Aug '19

Currently unavailable, and unfortunately no date known when it will be back

Medical Imaging cover

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.

ISBN: 9780367139612

Dimensions: unknown

Weight: 453g

238 pages