title: Joint segmentation and classification of M-FISH chromosome images.
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.
authors.affiliation: Department of Biomedical Engineering, Texas University, Austin, TX, USA.
authors.forename: Hyohoon
authors.initials: H
authors.lastname: Choi
authors.forename: Kenneth
authors.initials: K
authors.lastname: Castleman
authors.forename: Alan
authors.initials: A
authors.lastname: Bovik