港中大希望将这项技术进一步推广到临床应用中，实时图像处理将带来更高效的患者诊断。MathWorks 中国区医疗行业首席技术官单博表示：“巨幅图像尤其是高分辨率病理显微切片的处理，对于存储和计算都是巨大的挑战。港中大的解决方法采用了 blockedImage 针对巨幅图像处理的功能，从低分辨率图像中提取掩膜 ROI 区域，从而大大降低了计算量；随后基于 blockedImage ...

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 ...

This repository contains the official implementation of "MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation" by Gurucharan Marthi Krishna Kumar, ...

Abstract: With the continuous advancement of deep learning technology in medical image processing, precise image segmentation techniques have become increasingly important. Currently, TransUNet, which ...

bDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA Generative artificial intelligence has emerged as a transformative force in medical imaging since 2022, enabling the creation of ...