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A Hybrid Approach of Using Wavelets and Fuzzy Clustering for Classifying Multispectral Florescence In Situ Hybridization Images
Classifying Multispectral Florescence Situ Hybridization Images
2009/9/8
Multicolor or multiplex fluorescence in situ hybridization (M-FISH) imaging is a recently developed molecular cytogenetic diagnosis technique for rapid visualization of genomic aberrations at the chro...
Molecular Image Segmentation Based on Improved Fuzzy Clustering
Molecular Image Segmentation Improved Fuzzy Clustering
2009/9/7
Segmentation of molecular images is a difficult task due to the low signal-to-noise ratio of images. A novel two-dimensional fuzzy C-means (2DFCM) algorithm is proposed for the molecular image segment...
Clustering-Based Linear Least Square Fitting Method for Generation of Parametric Images in Dynamic FDG PET Studies
Parametric Images Dynamic FDG PET Studies
2009/9/7
Parametric images generated from dynamic positron emission tomography (PET) studies are useful for presenting functional/biological information in the 3-dimensional space, but usually suffer from thei...
Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation
Diffusion Maps Clustering Imaging Segmentation
2009/9/4
White matter fiber clustering aims to get insight about anatomical structures in order to generate atlases, perform clear visualizations, and compute statistics across subjects, all important and curr...
Identifying the location and the volume of the prostate is important for ultrasound-guided prostate brachytherapy. Prostate volume is also important for prostate cancer diagnosis. Manual outlining of ...