High quality annotated image data (anatomical loca
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High quality annotated image data (anatomical loca

Date created: 20/03/2014

Website or demo video presentation:

IPR:

  • Jointly foreground

Asset type:

  • Knowledge resource

Technology readiness level:

  • TRL 8 – system complete and qualified

Type of collaboration seeking:

  • Business: Commercial/Marketing support

Keywords:

  • biomedcentral
  • ImageCLEF 2010
  • Lung

This is a dataset of medical images collected between 2010 and 2011 for the PACS dump in Vienna and 2006-2009 for the lung CT data, including: • DD1: Large scale realistic data dump from MUW / AKH PACS. Anonymized, with a rich variety of anatomical structures, anomalies, and modalities, this is the closest we will get to the real WP9 application scenario in the 3D part (MUW) • L1: Lung images. This is a controlled data set with annotation of anomalies/diseases to be used for the development of anomaly recognition/indexing. It encompasses appr. 100 anonymized Lung CTs, with known anomaly. (HES-SO) • FBCT1: Full body CT data. This is a controlled data set with annotation of anatomical structures (currently in progress) for use during the development of anatomical structure recognition and retrieval.(MUW, Univ. Washington) • TH1: gated lung CTs with contrast agent (aorta). approx 30 keypoints, approx 20 patients • ImageCLEF data set: containing images for the ImageCLEFmed competition, for many biomedical journals of BiomedCentral, so open access. (HES-SO) Images for the MUW databases are described via visual feature vectors, that are descriptive and can be used to match anomalies/anatomical structures during retrieval.

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