Threshold-based segmentation by selecting a target color vector in one of six color spaces (RGB, HSV, CIELAB, CIEXYZ, YCbCr or YIQ (NTSC)) and isolating pixels within a user-specified tolerance.
Grok's image generation restricted to paid subscribers after backlash Standalone Grok app and tab on X still allow image generation without subscription European lawmakers have urged legal action over ...
Abstract: Weakly-supervised learning methods have become increasingly attractive for medical image segmentation, but suffered from a high dependence on quantifying the pixel-wise affinities of ...
The U.S. Federal Bureau of Investigation (FBI) on Thursday released an advisory warning of North Korean state-sponsored threat actors leveraging malicious QR codes in spear-phishing campaigns ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results