Breast Cancer Detection System Using Machine Learning

Breast Cancer Detection System Using Machine Learning

Dr. Dipannita Mondal

Shreyali Khobragade, Ishwar Sambhale, Atharv Mahajan

Department of Artificial Intelligence & Data Science

Dr. D. Y. Patil College of Engineering and Innovation

Abstract

AI is transforming the medical field, especially in early detection and categorization of breast cancer. Deep learning models like CNNI-BCC are displaying impressive capabilities in examining MRI images to precisely recognize different types of breast cancer. This advancement in technology has significant implications for enhancing patient outcomes.

By utilizing AI, healthcare professionals can now receive more accurate and prompt diagnoses. CNNI-BCC's exceptional accuracy in analyzing MRI images allows for earlier detection of breast cancer, which is crucial for successful treatment. This technology enables doctors to identify potential abnormalities that may have been missed by traditional methods, leading to more effective interventions.

Keywords

Image Augmentation, Feature Extraction, Medical Imaging, Mammogram Analysis, Diagnostic Algorithms, Radiology.