Breast Magnetic Resonance(MRI) Image Segmentation using Hybrid HMRF-ACO Algorithm

Yogesh S. Bahendwar, G. R. Sinha

Abstract


Disease diagnosing through medical imaging involves
segmentation of obtained medical images. The medical
images contain noises, artifacts, distortions because of varied
factors. The imaging modalities like resonance imaging,
Computed tomography (CT), digital diagnostic technique etc.
give a good means for non invasively mapping the anatomy of
the patient. These techniques have conspicuously increased
the knowledge of medical researchers in traditional and
pathologic anatomy of patient and proven to be a very
important tool in identification and treatment strategy.
Markov random field (MRF) model could be wide accepted
tool for segmentation of medical images. In this paper we tend
to project a hybrid HMRF with ACO algorithm and its
application in segmentation of 2D MRI images and recorded
its result.

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