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Robust 3D DNA FISH Using Directly Labeled Probes
Published on: August 15, 2013
Joint segmentation and classification of M-FISH chromosome images
Hyohoon Choi1, Kenneth Castleman, Alan Bovik
1Department of Biomedical Engineering, Texas University, Austin, TX, USA.
Abstract:
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.
