Current methods in medical image segmentation.
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...REVIEW ARTICLE Molecular Reproduction & Development (2015) The ImageJ Ecosystem: An Open Platform for Biomedical Image Analysis...
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Cites methods from "Current methods in medical image se..."
...…classification constraints using methods such as Markov random field modeling which allow information about neighboring voxels to affect classification can significantly decrease misclassification due to random noise in the image (Rajapakse et al., 1997; Zhang et al., 2001; Pham et al., 2000)....
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...Additional classification constraints using methods such as Markov random field modeling which allow information about neighboring voxels to affect classification can significantly decrease misclassification due to random noise in the image (Rajapakse et al., 1997; Zhang et al., 2001; Pham et al., 2000)....
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Cites methods from "Current methods in medical image se..."
...In the early days, simple rule-based approaches were followed; however, those methods failed to maintain robustness when tested on huge variety of data [7]....
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"Current methods in medical image se..." refers methods in this paper
...The K -means clustering algorithm clusters data by iteratively computing a mean intensity for each class and segmenting the image by classifying each pixel in the class with the closest mean ( 58 )....
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