The Breast Cancer Prediction 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.
Some common symptoms of breast cancer include:
1. A lump or thickening in the breast or underarm area.
2. Changes in breast size or shape.
3. Skin dimpling or puckering.
4. Nipple inversion or changes in nipple appearance.
5. Nipple discharge (other than breast milk).
6. Redness or scaliness of the breast skin or nipple.
Hospital Management System Project in Python
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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