An Exploration on Mammographic Image Abnormality Using Computer Aided Detection (CAD) System

https://doi.org/10.55529/jaimlnn22.1.7

Authors

  • Dr. Venkateswarulu Naik.B Associate Professor, Department of computer and science engineering, Ellenki College of Engineering and Technology, Hyderabad, India

Keywords:

Mammographic Image, Computer Aided Detection, Region of Interest, Mammographic Image Analysis Society, Abnormality

Abstract

Many sectors of research and development use digital image processing to development digital images and extract usable features since the data, whichever may subsequently be castoff to make key judgments by high accuracy. Such approaches were also used in medical solicitations, notably now the identification of breast cancer. Due to the limits of human observation, computers obligate frolicked a vital part in identifying initial signs to cancer over the years, resulting in the creation of a high-accuracy Computer Aided Detection System (CAD). This paper provides a brief overview of the Computer Aided Detection System, whichever could remain used as a choice sustenance system for the automatic detection for breast cancer, with the predictions after CAD schemes being used toward help radiologists make better diagnoses.

Published

2022-02-25

How to Cite

Dr. Venkateswarulu Naik.B. (2022). An Exploration on Mammographic Image Abnormality Using Computer Aided Detection (CAD) System. Journal of Artificial Intelligence,Machine Learning and Neural Network , 2(02), 1–7. https://doi.org/10.55529/jaimlnn22.1.7

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