Corpus ID: 186203299

A Novel Approach for solving Medical Image Segmentation Problems with ACM

  title={A Novel Approach for solving Medical Image Segmentation Problems with ACM},
  author={Ch. Janardhan and K. Venkata Ramanaiah and K. Babulu},
In this paper we proposed a novel segmentation algorithm for medical image segmentation that employs an active contour model (ACM) using level set method. This algorithm takes advantage of local edge feature algorithm for accurately drive the contour to required boundary region. The analysis and detection of any kind of brain tumors from magnetic resonance imaging (MRI) is very important for radiologists and image processing researchers. If objects of interest and their boundaries can be… Expand

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Multi-classifier framework for atlas-based image segmentation
  • T. Rohlfing, C. Maurer
  • Computer Science
  • Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
  • 2004
It is concluded that multi-classifier methods have a natural application to atlas-based segmentation and the potential to increase classification accuracy in real-world segmentation problems. Expand