International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 2 April-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

AI Smart Screening System for Early Detection of Breast Cancer using Deep Learning

Author(s) Mrs. U Saritha, Ms. K Bhargava Triveni Nandana
Country India
Abstract Breast cancer is one of the most important issues of health concern to women globally and early detection can be crucial in enhancing the survival rates. Conventional screening methods like mammography involve interpretation by experts and the interpretation process is time consuming and liable to human errors particularly in dense breast tissues. The proposed project introduces an AI Smart Screening System based on the deep learning methods to help with the early diagnosis of breast cancer. The offered one makes use of a Convolutional Neural Network (CNN) that is trained on the mammogram images to detect benign and malignant breast tissues and estimate the density of the breast tissues. The system offers both prediction outputs and a score of confidence and allows patients and doctors to access the information securely and through a web-based environment based on their roles. The system enhances the accuracy, efficiency, and ease of access of the mammogram analysis, report management, and aids the clinical decision-making process by automating mammogram analysis, incorporating digital report management.
Keywords Breast Cancer Detection, Deep Learning, Convolutional Neural Networks, Mammogram Image Analysis, Medical Image Processing, AI-Based Screening System, Decision Support System.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-06-13

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