| Autor: |
Bhatt, Nikita, Patel, Nirmi, Patel, Neel, Patel, Sapnil, Poshiya, Yagnik |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2965 Issue 1, p1-5, 5p |
| Abstrakt: |
Breast cancer has lately been the leading cause of death among women. Early detection of breast cancer is crucial because it allows for the possibility of treatment options that may enhance a woman's prognosis and quality of life. Early detection has the potential to increase survival rates for breast cancer, despite the lack of a cure at this time. The purpose of this research is to assess several approaches to breast cancer detection, such as ML, DL with optimisation and preprocessing, and DL with transfer learning. In this research, we look at the pros and cons of each method. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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