AirQuant is a framework based in MATLAB primarily for extracting airway measurements from fully segmented airways of a chest CT.

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 ...

Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...

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, ...