CHIRANJI LAL CHOWDHARY, GUDAVALLI VIJAYA KRISHNA SAI, D. P. ACHARJYA
This paper covers the design and construction of a system to provide support to decrease false assumptions in the detection of breast cancer. The main purpose of this work was to avoid the false assumptions in the detection process with cost effective manner. A model of decrease in false assumptions in breast cancer detection system was proposed with three modules: the first was pre-processing the mammogram image which was from removing the irrelevant parts, the second was formation of homogeneous blocks and that have done segmentation of the image and the third module was colour quantization that helped to break the colours among different regions. Our proposed system reduces the false assumptions during the detection of breast cancer.
false negative, breast cancer, pre-processing, segmentation, feature extraction, mammograms, colour quantization.
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