Name
Abstract | ||
|---|---|---|
Multicolor fluorescence in-situ hybridization (M-FISH) tech- nique provides color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole human chromosomes. Currently available M-FISH systems exhibit misclassifications of multiple pixel regions that are often larger than the actual chromosomal rearrangement. This paper presents a novel unsupervised classification method based on fuzzy logic classification and a prior adjusted reclassification method. Utilizing the chromosome boundaries, the initial classification results improved signifi- cantly after the prior adjusted reclassification while keeping the translocations intact. This paper also presents a new segmentation method that combines both spectral and edge information. Ten M-FISH images from a publicly available database were used to test our methods. The segmentation accuracy was more than 98% on average. Index Terms—M-FISH, Fuzzy-logic, Segmentation, Chromo- some, Classification, Unsupervised. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICIP.2006.312360 | Atlanta, GA |
Keywords | Field | DocType |
biological techniques,biology computing,cellular biophysics,fluorescence,fuzzy logic,image classification,image colour analysis,image segmentation,visual databases,color karyotyping,edge information,fuzzy logic,human chromosome,hybridization technique,image database,m-fish image,m-fish system,multicolor fluorescence,segmentation method,spectral information,unsupervised classification method,Chromosome,Classification,Fuzzy-logic,M-FISH,Segmentation,Unsupervised | Computer vision,Cellular biophysics,Chromosome,Pattern recognition,Chromosomal rearrangement,Segmentation,Computer science,Fuzzy logic,Image segmentation,Artificial intelligence,Pixel,Contextual image classification | Conference |
ISSN | ISBN | Citations |
1522-4880 | 1-4244-0480-0 | 9 |
PageRank | References | Authors |
0.86 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyohoon Choi | 1 | 59 | 5.37 |
| Kenneth R. Castleman | 2 | 91 | 12.80 |
| Alan C. Bovik | 3 | 3341 | 274.64 |