Breast Cancer Detection Techniques: A Review

Authors

Keywords:

Breast Cancer, Machine Learning, Deep Learning, Feature Extraction

Abstract

Of all malignancies diagnosed in women, breast cancer accounts for one-third. 18% of cancer-related fatalities globally are mostly caused by this. Breast cancer used to be the leading cause of mortality for women, but since 1985, lung cancer has taken over that spot. Due to inadequate knowledge of the subject, this malignancy cannot be prevented. However, cutting-edge breast cancer therapy methods are incredibly effective. Pre-processing, feature extraction, and classification are some of the processes involved in the identification of breast cancer. This research reviews the machine learning architectures for the identification of breast cancer.

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Published

2024-09-11

How to Cite

Amar Paul Singh, Er. Arvind Bhatia, & Vineet Rana. (2024). Breast Cancer Detection Techniques: A Review. Journal of Computational Analysis and Applications (JoCAAA), 33(4), 43–48. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/427

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