Joint segmentation and classification of M-FISH chromosome images

@article{Choi2004JointSA,
  title={Joint segmentation and classification of M-FISH chromosome images},
  author={Hyohoon Choi and K. R. Castleman and A. C. Bovik},
  journal={The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2004},
  volume={1},
  pages={1636-1639}
}
Automatic segmentation and classification of M-FISH chromosome images are jointly performed using a six-feature, 25-class maximum-likelihood classifier. Preprocessing of the images including background correction and six-channel color compensation method are introduced. A feature transformation method, spherical coordinate transformation, is introduced. High correct classification results are obtained. 
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