Lung Cancer Detection on CT Scan Images using Image Processing
The Lung Cancer Detection project utilizes neural networks to analyze medical imaging data for the early identification of lung cancer. By processing CT scans or X-rays, the system assists healthcare professionals in detecting abnormalities and potential cancerous nodules. The neural networks enhance diagnostic accuracy, enabling timely intervention and improving patient outcomes. This application stands at the forefront of medical advancements, providing a valuable tool for early cancer detection.
Lung Cancer Detection using CNN 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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