OpenCV tumor detection and automated image detection workflow (PET images)
Performed image-based computer vision work to detect and locate tumor/PET regions using OpenCV workflows. Prepared images for processing and applied region-of-interest selection to focus detection on relevant areas. Converted image formats and used thresholding and binary-mask steps to measure detected areas. • Converted source images into OpenCV-compatible formats • Selected ROI regions on subject images • Used min/max location logic (cv2.minMaxLoc-style) to estimate detection thresholds • Generated binary detection results and computed detected area measurements