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 ...

A graphical user interface (GUI) that is built on the Web and used to communicate with the Breast Cancer Detection Neural Network.

The Blind Assistance System is a computer vision-based object detection solution built using MATLAB and AlexNet. It helps visually impaired individuals by detecting and identifying nearby objects from ...

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 ...

Abstract: The integration of metaverse technologies into medical image processing represents a transformative shift in healthcare delivery. With the increasing availability of high-resolution medical ...

Abstract: Recent advancements in medical image processing have significantly enhanced the capabilities of diagnostic imaging and treatment planning. This paper provides a comprehensive overview of the ...