LungCancerDetection

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Run main.m and select images from image directory

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FIT3081 Lung Cancer Detection using Matlab

LUNG CANCER DETECTION USING CT SCAN IMAGE PROCESSING (MATLAB 2018b)

Methodology

1. Image Acquisition

• DICOM images are acquired from LIDC dataset (Cancer Imaging Archive)

2. Pre-processing:

• Gabor Filter
• Active Contour using masking to get Lung Volume
• Extract nodules using Watershed Segmentation

3. Feature Extraction

• Regionprops and GLCM to obtain nodules properties such as Areas, Perimeter, Mean Pixel Intensity.

4. Classification and Visualization of Nodules

• Nodules are classified basd on TNM 8th edition.