Optimized Deep Convolutional Neural Network for the Prediction of Breast Cancer Recurrence

Optimized Deep Convolutional Neural Network for the Prediction of Breast Cancer Recurrence

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 insepa...

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Bibliographic Details
Main Authors:	Arathi Chandran R I, V Mary Amala Bai
Format:	Article
Language:	English
Published:	Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2023-12-01
Series:	Journal of Applied Engineering and Technological Science
Subjects:	Breast Cancer Recurrence Prediction Deep Learning DCNN Classification
Online Access:	https://www.yrpipku.com/journal/index.php/jaets/article/view/3384

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