Medical Imaging : Artificial Intelligence, Image Recognition, and Machine Learning Techniques PDF
Edited by K.C. (The University of South Dakota, United States) Santosh, Sameer Antani, DS Guru, Nilanjan Dey
Description
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.
Information
-
Download - Immediately Available
- Format:PDF
- Pages:250 pages, 22 Tables, black and white; 97 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:20/08/2019
- Category:
- ISBN:9780429642494
Information
-
Download - Immediately Available
- Format:PDF
- Pages:250 pages, 22 Tables, black and white; 97 Illustrations, black and white
- Publisher:Taylor & Francis Ltd
- Publication Date:20/08/2019
- Category:
- ISBN:9780429642494
