Difference between revisions of "Documentation/Nightly/Extensions/HN Segmenter Module"

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== Deployed model ==
 
== Deployed model ==
The dataset used to test and evaluate the performance of the module is composed by a set of CT scans obtained from the Structure Segmentation for Radiotherapy Planning Challenge 2019, a competition of MICCAI 2019 Challenge. Find [https://structseg2019.grand-challenge.org/Home/ here] the link.  
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The dataset used to test and evaluate the performance of the module is composed by a set of CT scans obtained from the Structure Segmentation for Radiotherapy Planning Challenge 2019, a competition of MICCAI 2019 Challenge. Find [https://structseg2019.grand-challenge.org/Home/ here] the link.
  
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[[File:Segmentation-results.jpg]]
  
 
== Relevant Links ==
 
== Relevant Links ==
 
[https://github.com/inesmunozz/Slicer-HN_Segmenter/tree/master Slicer HN-Segmenter Module Source Code]
 
[https://github.com/inesmunozz/Slicer-HN_Segmenter/tree/master Slicer HN-Segmenter Module Source Code]

Revision as of 15:15, 12 September 2019

Home < Documentation < Nightly < Extensions < HN Segmenter Module

Module Description

HN Segmenter module is a 3D Slicer module intended to provide segmentations to a given CT head and neck image. It provides a user interface to connect with Docker and obtain 6 organs-at-risk (OARa) segmentations. It constitutes a part of a project designed to accelerate the treatment planning in Radiotherapy.


Setup Guide

In order to use HN Segmenter, Docker is required to be installed and configured properly.


Panels and their use

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Deployed model

The dataset used to test and evaluate the performance of the module is composed by a set of CT scans obtained from the Structure Segmentation for Radiotherapy Planning Challenge 2019, a competition of MICCAI 2019 Challenge. Find here the link.

File:Segmentation-results.jpg

Relevant Links

Slicer HN-Segmenter Module Source Code