Keywords: Lung, Cancer
The project centers on employing deep learning techniques for early lung cancer detection. By analyzing medical imaging data, it aims to develop a model capable of identifying potential cancerous patterns in lung scans. This proactive approach could aid medical professionals in diagnosing cancer at earlier stages, enhancing patient outcomes. The project contributes to leveraging DL methods for improving medical diagnostics, showcasing the potential of technology to revolutionize healthcare by enabling accurate and timely disease detection.
Aim
To Detect the Lung Cancer Data Using DL Techniques
Objective
Create a DL model to detect lung cancer from medical images. Train model with lung scans for accurate classification.
Validate the model's efficacy in early lung cancer detection using DL techniques.
ANN Technique used
Jupyter, Google Collab
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