An Intensity Variation Pattern Analysis Based Machine Learning Classifier for MRI Brain Tumor Detection.
Journal:
Current medical imaging reviews
Published Date:
Jan 1, 2019
Abstract
BACKGROUND: An accurate detection of tumor from the Magnetic Resonance Images (MRIs) is a critical and demanding task in medical image processing, due to the varying shape and structure of brain. So, different segmentation approaches such as manual, semi-automatic, and fully automatic are developed in the traditional works. Among them, the fully automatic segmentation techniques are increasingly used by the medical experts for an efficient disease diagnosis. But, it has the limitations of over segmentation, increased complexity, and time consumption.