Medical Imaging

<p>Winner of the Outstanding Academic Title recognition by Choice for the 2020 OAT Awards.</p><p><em> <br><p>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.</p></em></p><p>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.</p>