Personalized Breast Cancer Prognosis through Data Mining Innovations
DOI:
https://doi.org/10.48047/3bwxrj97Keywords:
Breast cancer survival estimation, gene expression, copy number variation, histopathological whole slide images, utility kernel, support vector machine, machine learning, deep neural networks”.Abstract
Progress in medical research on cancer diagnosis and prognosis, especially in breast cancer, has imposed considerable demands on oncologists due to the disease's complex and varied characteristics. Research aimed at estimating breast cancer survival has been proposed to tackle this difficulty.
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References
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