Analysis of Breast Cancer And Image Processing Techniques

© 2020 by IJCTT Journal
Volume-68 Issue-1
Year of Publication : 2020
Authors : Mrs. T. Leena Prema Kumari, Dr. K. Perumal
DOI :  10.14445/22312803/IJCTT-V68I1P113

How to Cite?

Mrs. T. Leena Prema Kumari, Dr. K. Perumal, "Analysis of Breast Cancer And Image Processing Techniques," International Journal of Computer Trends and Technology, vol. 68, no. 1, pp. 58-63, 2020. Crossref,

Rapid increase in the number or amount of cell in their growth and the structure is a cancer cell. Prior detection of cancer can reduce the demise rate. Radiologist can miss the abnormalities due to inexperience in the field of mammography to detect the cancer. Many people have been cured of it due to early detection. Still the automated classification of Mss is a complex task. Dense tissues may easily be confused as calcification result in high false positive. So, pre- processing to enhance the images places a vital role to adjust and make the correction by avoid the unwanted part of image. The success of segmentation and classification depends upon the accuracy of pre-processing. The aim of this process is to enhance in the quality by removing the unrelated and surplus parts in the background of mammogram. Different types of abnormalities, patterns and the features of BI-RADS and various techniques to evaluate the mammogram using image processing were discussed. This paper concludes with the need of pre processing techniques to get the best accuracy.

Full Field Digital Mammography, Computer Aided Detection, Breast Imaging- Reporting and Data System, Region of Interest,Medio Lateral Oblique, Cranio Cauda

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