Title of article :
Machine Learning Applications in Medical Image Analysis
Author/Authors :
El-Baz, Ayman Bioengineering Department - The University of Louisville - Louisville, USA , Gimel’farb, Georgy Department of Computer Science - The University of Auckland - Auckland, New Zealand , Suzuki, Kenji Department of Radiology - The University of Chicago - Chicago, USA
Abstract :
Multiple today’s medical imaging modalities, for example,
X-ray CT, MRI/fMRI, and PET scanners, supply computeraided diagnostics (CAD) with a host of complex and highly
informative images. The resulting big volumes of raw visual
information are extremely difficult to handle. Thus new
strategies for imaging-based CAD and therapies of diseases
have to be developed.
Keywords :
Machine , Analysis , CAD , X-ray
Journal title :
Computational and Mathematical Methods in Medicine
