Date of Publication :30th January 2023

Abstract: Breast cancer is one of the most fatal cancers for women. Because of its high mortality rate, it is becoming a necessity for the researchers to come up with models for precise detection of disease and subsequent treatments. By doing this, the researchers will not only promote the new technology but also contribute to the mankind. We are also trying to do the same. This paper proposes the semantic image segmentation of breast tumour using ResUNet model. The proposed model attained a high accuracy of 0.9871 on our training dataset. The complete empirical analysis along with the exhaustive literature review is presented in the paper.

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