AN EFFECTIVE MACHINE LEARNING FRAMEWORK FOR BREAST CANCER DETECTION
Vydyam Sirisha1, Prof Mr. C. Ayanna2, Department of Pharmacology
DOI : https://doi.org/10.63712/bpsrj-v1i3p004
ABSTRACT: Breast cancer remains one of the most critical health challenges for women worldwide, contributing substantially to global cancer-related mortality. Early identification of malignant tumors significantly improves treatment outcomes, yet clinicians often lack highly reliable predictive tools to support diagnosis at initial stages. Machine learning (ML) techniques have demonstrated strong potential in medical decision-support systems, particularly for classifying cancerous cells.