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: Neuro-Symbolic Artificial Intelligence (NeSyAI) is a paradigm that combines neural networks with symbolic reasoning, building upon foundations laid in the 1990s and early 2000s, yet gaining ...

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: Image registration is the most basic preprocessing method used to unify coordinates among multitemporal very-high-resolution (VHR) satellite images, thus allowing the acquisition of reliable ...

Greetings everyone! Today I am going to show you the 3 famous Qwen Image Edit LoRAs that you have been hearing so much about. In this tutorial, we dive deep into how to install, configure, and use ...

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 ...