medical-labelme is a graphical image annotation tool inspired by http://labelme.csail.mit.edu. It is written in Python and uses Qt for its graphical interface.

Abstract: This paper focuses on the implementation of a 1024-point FFT. A 1024-point FFT is significant in various applications, including signal processing, image processing, and communications, ...

Remember when flip phones were a thing? Back in the 2000s, I used to love my little Motorola Razr, and after using the Samsung Galaxy Z Flip 6 for a couple of weeks, it feels like I’ve gone back in ...

Abstract: In a surgical navigation system, point cloud registration technology determines the accuracy of surgical navigation. Intelligent analysis of artificial joints to achieve higher quality ...