Learn More
This paper describes an approach based on mathematical morphological reconstruction for extraction of a tumor from labeled brain magnetic resonance imaging (MRI) images affected by impulse noise. As a part of pre-processing, global thresholding technique is applied on the input MRI image. Afterward, mathematical morphological reconstruction operation(More)
This paper describes a statistical approach for segmenting multiple sclerosis lesions (tumors) from magnetic resonance imaging (MRI) images. Proposed method detects and segments the areas inside the brain that are affected by tumors. Tumor regions are the areas of higher intensity in comparison to normal tissue. Our automated method gives satisfactory(More)
  • 1