Enhanced Deep Learning Architecture for Breast Cancer Detection Using  Transfer Learning and U-Net Segmentation

Manish Kumar Soni, Somendra Tripathi

Enhanced Deep Learning Architecture for Breast Cancer Detection Using Transfer Learning and U-Net Segmentation

Authors

Manish Kumar Soni, Somendra Tripathi

Keywords:

Mammography, Deep Learing, U-Net Segmentation, ResNet50, Transfer Learning, Breast Cancer Detection.

Abstract

Breast cancer is still one of the world's top causes of death for women, and survival rates aregreatly increased by early identification. Although it performs well, the current LBP–SVM based AI-HF model is constrained by manually created feature limitations

References

H. Sung et al., “Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide,” CA: A Cancer Journal for Clinicians, vol. 71, no. 3, pp. 209–249, 2021.

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Published

2024-12-20

How to Cite

Manish Kumar Soni, Somendra Tripathi. (2024). Enhanced Deep Learning Architecture for Breast Cancer Detection Using Transfer Learning and U-Net Segmentation. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8564–8580. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5357