Releases · raidionics/Raidionics

08 Jul 11:27

dbouget

v1.1.0-alpha

94ea0de

v1.1.0-alpha Pre-release

Pre-release

Complete overhaul of the graphical user interface for better and more intuitive user experience.
The backend logic for automatic tumor segmentation, features computation, and standardized reporting have been left untouched.

PS: automatically attached source code is wrong, the current version corresponds to the design_update branch.

Assets 5

03 May 12:13

andreped

v1.0.0

9c662ca

v1.0.0

This is the first official release of Raidionics, which is a software for automatic segmentation of brain tumors and computation of brain tumor features from MRIs.

The current version was the one used to conduct the experiments in the study "Preoperative brain tumor imaging: models and software for segmentation and standardized reporting" by Bouget et al. (2022).

The software and trained models are currently implemented for pre-operative MRIs and supports:

Automatic extraction of brain tumor features presented in a standardized report
Automatic segmentation of four different brain tumor types (high and low-grade gliomas, metastases, and meningiomas)
Automatic brain extraction and atlas-based segmentation of other relevant structures
Visualization of MRI together with (predicted) segmentations in 2D viewers
Support for batch mode - ability to run analysis on a set of MRIs sequentially without user intervention
Automatic logging and prompts for presenting analysis steps and final report

The release includes binary installers for Windows (>= v10, 64-bit), macOS (>= Catalina), and Ubuntu Linux (>= 18.04). Simply download the installer specific for your operating system.

To run the software, carefully read through the installation procedure before running (see here).

Full Changelog: https://github.com/dbouget/Raidionics/commits/v1.0.0

Assets 5