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<th style="text-align: left; width:27%">  === Objective ===
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<ul><li> Consolidation of Lung Nodule detection and segmentation algorithms into pipelines.</li>
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<li> Iterative parameter-space testing of pipelines in cluster-computing environments.</li>
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Devise a ''i18n'' strategy for Slicer.
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<li> Perform evaluations against expert-contoured segmentations.</li></ul>
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<br>Specifically, we will be working on:
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* The design of a solution including the structure
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of documents.
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* The tests of the solution with some examples.
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* The documentation of the process in order to
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define a srategy for different modules.
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Revision as of 13:52, 9 June 2017

Internationalizing Slicer 3D Modules

25th Project Week - 2017 Summer Project Week NA-MIC

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

    NA-mic PW25

  • Medtec0.png

    Medtech

  • 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
    Devise a i18n strategy for Slicer.
    Specifically, we will be working on:
    • The design of a solution including the structure
    of documents.
    • The tests of the solution with some examples.
    • The documentation of the process in order to
    define a srategy for different modules.
  • Explore and optimize existing Lung Nodule detection/segmentation tools.
  • Configure and launch StarCluster Nodes on AWS to run pipelines.
  • Use LIDC Data for evaluation of pipelines (~1200+ CT Images with manual contours).
  • Evaluate Segmentation pipelines against manual contours using metrics such as SimpleITK filters, Dice, Hausdorff, and Radiomics.
  • Exploring the Lesion-Size Toolbox algorithms for Lung Nodule detection.
  • Configured StarCluster/AWS testing pipeline with time and cost estimates
  • 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>.
  • Exploring use scenarios for radiomic analysis

Objective

    Devise a i18n strategy for Slicer.
    Specifically, we will be working on:
    • The design of a solution including the structure
    of documents.
    • The tests of the solution with some examples.
    • The documentation of the process in order to
    define a srategy for different modules.

Approach, Plan

    Before Project Week:
      • Make an analysis and study of the basics
      concepts of localization and internationalization.

    During Project Week:

      • Establish a sound plan to accomplish such
      a complex task in all its different areas:

        Analysis

        Design

        Methodologies

        Development

      • Plan the internationalization of some module

      as a proof of concept.


Progress and next steps

  • Pending
  • Pending

LogoPie.jpg
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