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Mass Classification Method in Mammogram Using Fuzzy K-Nearest Neighbour Equality
Mass classification of objects is an important area of research and application in a variety of fields.
Pectoral Muscles Suppression in Digital Mammograms using Hybridization of Soft Computing Methods
Breast region segmentation is an essential prerequisite in computerized analysis of mammograms.
Automatic Mammogram image Breast Region Extraction and Removal of Pectoral Muscle
Extraction of the breast profile region and the removal of pectoral muscle are essential pre-processing steps in Computer Aided Diagnosis (CAD) system for the diagnosis of breast cancer.
Mammogram Edge Detection Using Hybrid Soft Computing Methods
Different methods are available for edge detection like Roberts, Sobel, Prewitt, Canny, Log edge operators.
Unsupervised Gene Expression Data using Enhanced Clustering Method
Microarrays are made it possible to simultaneously monitor the expression profiles of thousands of genes under various experimental conditions.
Performance Analysis of Clustering Algorithms for Gene Expression Data
Microarray technology is a process that allows thousands of genes simultaneously monitor to various experimental conditions.
A Novel Approach for Single Gene Selection Using Clustering and Dimensionality Reduction
The problem is that all genes are not important in gene expression data.
Verdict Accuracy of Quick Reduct Algorithm using Clustering and Classification Techniques for Gene Expression Data
Then the obtained results are compared with the original class labels.
