Yawi3D is a project that offers useful tools for supervised sampling of tumoral masses in CT images. With this software, medical professionals can easily monitor and analyze tumor masses to find the most effective treatment options.
Yawi3D, also known as Yet Another Wand for ImageJ 3D, is a software project that has been designed to aid in the supervised sampling of tumoral masses in CT images. With Yawi3D, selecting a tumoral region on each slice of a CT analysis has been made simpler and enabling. You can even compute the volume of the selected region with ease. These volume measurements can be used to better understand the course of the illness, providing a forecast on its alterations.
With Yawi3D being implemented as a plugin for ImageJ, the powerful Java problem solving environment for image processing implemented at NIH, you have a seamless implementation. This plugin provides a host of functionalities to users, making their work much more manageable.
The Yawi2D feature is a fuzzy selection tool (magic wand) used on the 2D slices to select ROIs. It uses an adaptive algorithm based on chromatic composition of areas that segments regions with chromatic similarities. This powerful implementation of the fuzzy selection tool can be applied to a wider spectrum of problems, giving you more flexibility than the ImageJ wand.
Finally, Yawi3D is the software component used to select 3D ROIs and is based on Yawi2D. This is a challenging problem since tumoral mass can be a coalescence of different masses, which means that an automatic selection tool has to deal with non-connected ROIs. Nevertheless, Yawi3D can still handle the task like a pro, providing efficient solutions to complex problems.
With Yawi3D being implemented as a plugin for ImageJ, the powerful Java problem solving environment for image processing implemented at NIH, you have a seamless implementation. This plugin provides a host of functionalities to users, making their work much more manageable.
The Yawi2D feature is a fuzzy selection tool (magic wand) used on the 2D slices to select ROIs. It uses an adaptive algorithm based on chromatic composition of areas that segments regions with chromatic similarities. This powerful implementation of the fuzzy selection tool can be applied to a wider spectrum of problems, giving you more flexibility than the ImageJ wand.
Finally, Yawi3D is the software component used to select 3D ROIs and is based on Yawi2D. This is a challenging problem since tumoral mass can be a coalescence of different masses, which means that an automatic selection tool has to deal with non-connected ROIs. Nevertheless, Yawi3D can still handle the task like a pro, providing efficient solutions to complex problems.
What's New
Version 2.1.0: N/A