Abstract: Breast cancer stands as a predominant health concern for women globally. As mammography is the primary screening tool for breast cancer detection, improving the detection of breast cancer at ...

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 ...

Abstract: Image processing has become one of the popular neuromorphic computing applications in recent years. Most of the application areas require an efficient and real time image processing system.

Abstract: Image and point cloud registration (2D-3D registration) is an essential prerequisite for multi-modal feature fusion. However, due to the significant feature difference of point cloud and ...

Abstract: AI-powered image analysis is a transformative technology with immense potential to enhance diagnostics and patient care. Accurate medical image assessment plays a crucial role in disease ...

Abstract: The optical image and laser point clouds have good complementary advantages, but it is difficult to directly obtain a reliable correlation between the two types of heterogeneous feature ...

Abstract: Due to the scattering and absorption of light, underwater images face challenges such as color cast, low contrast, and blur. Existing deep learning-based underwater image enhancement (UIE) ...