Segmentation of M-FISH images for improved classification of chromosomes with an adaptive fuzzy c-means clustering algorithm

Keyphrases

• Fuzzy C-means Algorithm 100%
• Adaptive Fuzzy C-Means 100%
• Multicolor Fluorescence in Situ Hybridization (mFISH) 100%
• Improved Classification 100%
• Clustering Algorithm 66%
• Genetic Disease 66%
• Gain Field 66%
• Fuzzy C-means Clustering 66%
• Classification Algorithms 33%
• Segmentation Algorithm 33%
• Performance Improvement 33%
• Chromosomal Abnormalities 33%
• Disease Diagnosis 33%
• Fluid-attenuated Inversion Recovery (FLAIR) 33%
• Imaging Systems 33%
• Microscopic Imaging 33%
• Intensity Inhomogeneity 33%
• Cancer Disease 33%
• Segmentation Error 33%
• Region Segmentation 33%
• Region Classification 33%
• Classification Error 33%
• Improved Diagnosis 33%

Biochemistry, Genetics and Molecular Biology

• Fluorescence in Situ Hybridization 100%
• Chromosome 100%
• Genetic Disorder 66%
• Chromosomal Abnormalities 33%
• Classification Algorithm 33%

Computer Science

• fuzzy c mean 100%
• Classification Algorithm 25%
• segmentation algorithm 25%
• Classification Error 25%
• Intensity Inhomogeneity 25%
• Imaging System 25%