Literature DB >> 17272015

Joint segmentation and classification of M-FISH chromosome images.

Hyohoon Choi1, Kenneth Castleman, Alan Bovik.   

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.

Entities:  

Year:  2004        PMID: 17272015     DOI: 10.1109/IEMBS.2004.1403495

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Classification of multicolor fluorescence in situ hybridization (M-FISH) images with sparse representation.

Authors:  Hongbao Cao; Hong-Wen Deng; Marilyn Li; Yu-Ping Wang
Journal:  IEEE Trans Nanobioscience       Date:  2012-06       Impact factor: 2.935

2.  An improved sparse representation model with structural information for Multicolour Fluorescence In-Situ Hybridization (M-FISH) image classification.

Authors:  Jingyao Li; Dongdong Lin; Hongbao Cao; Yu-Ping Wang
Journal:  BMC Syst Biol       Date:  2013-10-23
  2 in total

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