Investigation on Effects of Training Schemes and Data Characteristics on Deep Learning-based Breast Cancer Classification
Madhumita Pal,
Smita Parija,
Ganapati Panda
et al.
Abstract:Breast cancer (BC) is the most frequently diagnosed cancer among women, surpassing all other types of cancer in terms of prevalence. It affects both males and females, but women are at a greater risk of developing it. The lifetime probability of developing breast cancer for women is approximately 1 in 38. The focus of this study is to differentiate between benign and malignant breast cancer tumors using the fine needle aspiration (FNA) signal as the primary source of information. Four deep learning (DL) models… Show more
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