AirQuant is a framework based in MATLAB primarily for extracting airway measurements from fully segmented airways of a chest CT.
Abstract: This paper used Matlab software to process and analyze images, focusing on the processing effects of different filtering methods on different types of noise. To verify the effectiveness of ...
UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...
Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...
Abstract: Presents a contribution in the field of computer vision in dermatology for the follow up of skin lesions. Several known skin lesions in the country are identified. The images of these ...
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Artificial Intelligence (AI) has rapidly emerged as a transformative technology in healthcare, particularly in medical image processing. Medical imaging modalities such as MRI, CT, PET, ultrasound, ...
Introduction: Deep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science ...
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