Progressive Algorithms

2021 ◽  
Author(s):  
Itay Ravid ◽  
Amit Haim
Keyword(s):  
Progressive Algorithms

scholarly journals Assessment of Breast Cancer Detection and Implementation

2019 ◽  
Vol 8 (11) ◽  
pp. 323-330
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Median Filter ◽  
Breast Cancer Detection ◽  
Statistical Parameters ◽  
Cause Of Deaths ◽  
Life Threatening ◽  
Mammogram Image ◽  
Mean Variance ◽  
Progressive Algorithms

Breast Cancer is the most dangerous and life threatening disease. Of all kinds of cancers, Breast cancer is the second major cause of deaths and especially the first major cause of deaths in women. In this project, images are taken from medical representativess in order to implement a real time project. This methodology aims at diagnosing Breast Cancer at an earlier stage by considering progressive algorithms. In this methodology, a mammogram image is considered. To this image sample, image segmentation technique is applied which separates fore-ground regions from the background regions. Later, Binarization technique is used to enrich the contrast of the image in order to make it more desirable for finding the tumour cell location within the affected area. Median filter is used for removing noise within the image. To the noise free images, some statistical parameters viz., mean, variance, Standard deviation, Mean Square error and entropy are calculated to analyze the performance

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