Segmentation techniques for tissue differentiation in MRI of ophthalmology using fuzzy clustering algorithms.

@article{Yang2002SegmentationTF,
  title={Segmentation techniques for tissue differentiation in MRI of ophthalmology using fuzzy clustering algorithms.},
  author={Miin-Shen Yang and Yu Jen Hu and Karen Chia-Ren Lin and Charles Chia-Lee Lin},
  journal={Magnetic resonance imaging},
  year={2002},
  volume={20 2},
  pages={173-9}
}
This paper presents MRI segmentation techniques to differentiate abnormal and normal tissues in Ophthalmology using fuzzy clustering algorithms. Applying the best-known fuzzy c-means (FCM) clustering algorithm, a newly proposed algorithm, called an alternative fuzzy c-mean (AFCM), was used for MRI segmentation in Ophthalmology. These unsupervised segmentation algorithms can help Ophthalmologists to reduce the medical imaging noise effects originating from low resolution sensors and/or the… CONTINUE READING
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MS Yang
Mathematical and Computer Modelling • 1993
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