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What is Edge Detection in Noisy Medical Images about?

The article presents a comparative analysis of edge detection operators on medical images affected by various types of noise, utilizing a threshold estimation approach. It evaluates the effectiveness of different edge detection methods, particularly the Canny operator, across images with varying complexities and noise intensities from datasets including retinal images, brain tumor segmentations, and lung CT scans. The study highlights the significant impact of noise on diagnostic accuracy in medical imaging

Author

Muhammad yusuf Obidov

Language

EN