Texture-based analysis of clustered microcalcifications detected on mammograms

Improvement of Automated Detection Method for Clustered Microcalcification Based on Wavelet Transformation and Support Vector Machine

“…In this study, we apply the method that has developed by Tieudeu et.al [4] with modification in one specified area. They are developed the main method by utilizing three methods.…”

“…For , Daubechies wavelet of class D-2N is function denoted by (4) where are the constant filter coefficients that fulfilling the conditions (5) similarly, for ,…”

“…Accomplished that performance of the SVM was greater than the NN. The most current one is Tieudeu et.al [4] detected the clustered MC based on the analysis of the their texture. Selection process had done via labeling method of the image that obtained from subtraction the smoothing image from the contrast enhance image, and classification of features completed by neural network.…”

Automated Detection Method for Clustered Microcalcification in Mammogram Image Based on Statistical Textural Features

“…Then Abdallah et.al [3] reported the efficient technique to detect the ROI using multi-branch standard deviation analysis and resulting the promising result which more than 98% of true positive (TP) cases. The most current one is Tieudeu et.al [1] detect the clustered MC based on the analysis of the their texture. Selection process has done via labeling method of the image that obtained from subtraction the smoothing image from the contrast enhance image, and classification of features successfully completed by neural network.…”

“…Therefore in this study we propose to make a system that can automatically detect the clustered MC based on the strengths from the Tieudeu et.al [1] with different enhancement image algorithm combine with detection of individual MC as done by Kim and Park [4] which employed the statistical features to detect the MC.…”