2 Years Impact Factor:
2.85
5 Years Impact Factor: 1.53
Author: Harsh Gogoriya,D.GadapaSuchith,Ramagani Vamshi Krishna,K. Yadagir
Abstract:
Breast cancer is a leading cause of cancer-related deaths among women globally, including in India. According to the Indian Council of Medical Research (ICMR), breast cancer accounts for 14% of all cancers in Indian women, with over 1.78 lakh new cases reported in 2020 alone. The mortality rate remains high due to late-stage detection, lack of awareness, and inadequate screening programs. The five-year survival rate in India is significantly lower compared to developed countries due to delayed diagnosis and limited access to advanced medical facilities. To develop an AI-powered diagnostic model using CNNs for accurate classification of mammographic images and assist in early detection of breast cancer. The goal is to enhance accuracy, reduce human error, and improve the efficiency of breast cancer diagnosis. Before AI and deep learning, breast cancer diagnosis relied on manual interpretation by radiologists using mammograms, biopsies, and ultrasound imaging. Histopath
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