Much work has been done in the field of Image segmentation but still there is a room for
improvement. Medical image segmentation is a sub field of image segmentation in digital image processing
that has many important applications in the prospect of medical image analysis and diagnostics.
Here in this paper different approaches of medical image segmentation will be classified along with
their sub fields and sub methods. Recent techniques proposed in each category will also be discussed
followed by a comparison of these methods.
Keywords: Atlas guided methods, Bayesian method, classifiers, clustering, deformable models, Markov random field, Medical
image segmentation, modalities, neural networks, region growing, thresholding.
Rights & PermissionsPrintExport