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== Project Description == | == Project Description == | ||
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| + | <table class="wikitable"> | ||
| + | <tr> | ||
| + | <th style="text-align: left; width:27%"> Objective | ||
| + | </th> | ||
| + | <th style="text-align: left; width:27%"> Approach and Plan | ||
| + | </th> | ||
| + | <th style="text-align: left; width:27%"> Progress and Next Steps | ||
| + | </th></tr> | ||
| + | <tr style="vertical-align:top;"> | ||
| + | <td> | ||
| + | <ul><li> Consolidation of Lung Nodule detection and segmentation algorithms into pipelines.</li> | ||
| + | <li> Iterative parameter-space testing of pipelines in cluster-computing environments.</li> | ||
| + | <li> Perform evaluations against expert-contoured segmentations.</li></ul> | ||
| + | </td> | ||
| + | <td> | ||
| + | <ul><li> Explore and optimize existing Lung Nodule detection/segmentation tools.</li> | ||
| + | <li> Configure and launch StarCluster Nodes on AWS to run pipelines.</li> | ||
| + | <li> Use LIDC Data for evaluation of pipelines (~1200+ CT Images with manual contours).</li> | ||
| + | <li> Evaluate Segmentation pipelines against manual contours using metrics such as SimpleITK filters, Dice, Hausdorff, and Radiomics. </li></ul> | ||
| + | </td> | ||
| + | <td> | ||
| + | <ul><li> Exploring the Lesion-Size Toolbox algorithms for Lung Nodule detection. </li> | ||
| + | <li> Configured StarCluster/AWS testing pipeline with time and cost estimates</li> | ||
| + | <li> Confirmed that Slicer running in Docker container running on AWS EC2 instance can successfully host CIP algorithms. <a rel="nofollow" class="external text" href="https://www.youtube.com/watch?v=tCCQ_N2m8zs">Video demonstrates running node segmentation and feature analysis running in a browser</a>.</li> | ||
| + | <li> Exploring use scenarios for radiomic analysis</li></ul> | ||
| + | </td></tr></table> | ||
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Revision as of 13:50, 9 June 2017
Internationalizing Slicer 3D Modules
25th Project Week - 2017 Summer Project Week NA-MIC
Contents
Key Investigators
- Juan Ruiz Alzola (Universidad de Las Palmas de Gran Canaria, Spain)
- Marilola Afonso (Universidad de Las Palmas de Gran Canaria, Spain)
Background
Slicer 3D is a widely used application. A new feature including the localization -L10n- and internationalization -i18n- capacities would be used to facilitate users of different languages the use of the Slicer 3D application.
Gallery
- Na-mic PW25.png
- Medtec0.png
- Img1.jpg
Project presentation
- Img2.jpg
Project outcome
Possible application areas / IDEAS
- Small modules developed as examples for slicer
Project Description
| Objective | Approach and Plan | Progress and Next Steps |
|---|---|---|
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Objective
Specifically, we will be working on: |
Approach, Plan
During Project Week: Analysis Design Methodologies Development as a proof of concept.
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Progress and next steps
|
