A Deep Learning Model for Detection Cancer in Breast

Author:

Ramana T.V.

Abstract

It is exceedingly difficult to identify and classify breast cancer. In reality, a tumour or cancer is a complicated process that involves several changes to the mammography images. Additionally, distinct tissues are used to describe various sections of the image that exhibit variable and high appearance. The primary advantage of this method is image classification for cancer prediction and performance improvement. On an open-source dataset, we trained and tested the application of our research. Python 3 will be used to create this project. The Jupyter IDE will be used to deploy the project. The overall goal of this project is to provide the highest level of performance and efficiency.

Publisher

HM Publishers

Reference34 articles.

1. Ghantasala, G. P., Reddy, A., Peyyala, S., & Rao, D. N. (2021). Breast Cancer Prediction In Virtue Of Big Data Analytics. International Journal Of Education, Social Sciences And Linguistics, 1(1), 130-136.

2. Ghantasala, G. P., Kumari, N. V., & Patan, R. (2021). Cancer prediction and diagnosis hinged on HCML in IOMT environment. In Machine Learning and the Internet of Medical Things in Healthcare (pp. 179-207). Academic Press.

3. Ghantasala, G. P., Reddy, A. R., & Ayyappa, R. M. K. (2022). Protecting Patient Data with 2F-Authentication. Cognitive Intelligence and Big Data in Healthcare, 169.

4. G S Pradeep Ghantasala, D. Nageswara Rao, Mandal K (2021) Machine Learning Algorithms Based Breast Cancer Prediction Model. Journal of Cardiovascular Disease Research, 12 (4), 50-56. doi:10.31838/jcdr.2021.12.04.04

5. Ghantasala, G. P., & Kumari, N. V. (2021). Breast Cancer Treatment Using Automated Robot Support Technology For Mri Breast Biopsy. International Journal of Education, Social Sciences And Linguistics, 1(2), 235-242.

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