Optimized Deep Convolutional Neural Network for the Prediction of Breast Cancer Recurrence
Arathi Chandran R I,
V Mary Amala Bai
Abstract:With more than 2.1 million new cases of diagnosis each year, breast cancer is considered to be the most prevalent women disease. Within 10 years, nearly 30% patients who got cured at early-stages experienced cancer recurrence. Recurrence is a crucial aspect of breast cancer behaviour that is inseparably linked to mortality. Despite its importance, the significant proportion of breast cancer datasets rarely include it, which makes research into its prediction more challenging. It is still difficult to predict w… Show more
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