Smart Computing and Emerging Technologies
Review and Survey of Deep Learning Approaches for Enhanced Breast Cancer Detection in Mammograms
Authors: Anurag Kumar Patel, Rajkumar Sharma and Vivek Richhariya
Publishing Date: 29-10-2025
ISBN: 978-81-975670-0-1
Abstract
Breast cancer is one of the prevalent malignancies affecting women and the foremost cause of deaths among them globally. Breast cancer is characterized by its heterogeneous nature in both of its molecular and clinical presentations. Mammography is the predominantly used and recognized image modeling for the screening and diagnosis of Breast Cancer. In this review paper, we examine the latest advancements in Deep Learning (DL) architectures such as CNNs, ensemble models, hybrid frameworks(CNN+ViT) for enhancing the early detection of breast cancer in mammograms and concludes by highlighting the performance of the respective frameworks.
Keywords
Mammogram Screening Analysis, Tumor Detection, Deep Learning, Medical Imaging Modalities, Ensemble Learning, Convolutional Neural Network
Cite as
Anurag Kumar Patel, Rajkumar Sharma and Vivek Richhariya, "Review and Survey of Deep Learning Approaches for Enhanced Breast Cancer Detection in Mammograms", In: Himanshu Mittal (eds), Smart Computing and Emerging Technologies, SCRS, India, 2025, pp. 59-73. https://doi.org/10.56155/978-81-975670-0-1-6