Raidionics models and resources v1.3.0

Update README.md

More accurate description of the inputs required for the postop GBM segmentation models

Raidionics-Slicer models and resources

Resources and models necessary for running the Raidionics plugin inside 3D Slicer.

Raidionics models and resources v1.2.0

Models and resources for use in Raidionics and Raidionics-Slicer (v1.2.0)

All models have been converted to ONNX format, and operate either full-volume, patch-wise, or slab-wise.

1. MRI models

All preoperative tumor segmentation models have been described in Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting

The postoperative glioblastoma segmentation models have been introduced in Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

The sequence classification model has not been validated nor introduced in any previous publication yet.

2. CT models

The lymph nodes segmentation has been introduced in Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding.

All other models were presented in Semantic segmentation and detection of mediastinal lymph nodes and anatomical structures in CT data for lung cancer staging

Raidionics models and resources v1.1.0

Models and resources needed in Raidionics and Raidionics-Slicer.

Detailed information regarding models' creation can be read from the following article: Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting