The Breast Cancer Detection with Neural Networks and Machine Learning project represents a pivotal advancement in medical diagnostics, specifically focusing on early detection of breast cancer. Employing a sophisticated blend of neural networks and machine learning algorithms, the system meticulously analyzes mammogram images to identify potential signs of breast cancer. By leveraging comprehensive datasets, the model achieves high accuracy in distinguishing between benign and malignant tumors. This application serves as a valuable tool for healthcare professionals, enabling prompt detection and intervention, ultimately improving patient outcomes and survival rates.
Software Requirements :-
1. Operating System: Win 7 or more
2. Programming Language: Python
Hardware Requirement :-
1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM