Скачать или смотреть Automated Lung ROI Extraction from CT Scans using OpenCV + Contours + Gamma Correction

📌 In this tutorial, we build a complete lung ROI extraction and enhancement pipeline for CT scan images using Python and OpenCV. This preprocessing is essential for medical AI tasks such as lung disease detection, radiology deep learning, and computer-aided diagnosis (CAD).

We apply multiple medical image processing techniques step-by-step, including:

🧠 Techniques Used
✅ Grayscale CT pre-processing
✅ Otsu Thresholding for lung region segmentation
✅ Morphological Operations (Dilation) to refine boundaries
✅ Contour Detection to isolate the lung region
✅ Bitwise Masking for clean lung ROI extraction
✅ Gamma Correction for brightness enhancement
✅ CLAHE (Contrast Limited Adaptive Histogram Equalization) for contrast enhancement
✅ ROI visualization with Matplotlib

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