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Machine Learning Methods for Automated Quantification of Ventricular Dimensions

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Contributors:
  2. Steffen Just
  3. Jakob Gierten
  4. Ralf Mikut
  5. Markus Reischl

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Description: Machine learning methods for automated quantification of ventricular dimensions (for further details see Wiki below or take a closer look at our paper: https://www.liebertpub.com/doi/10.1089/zeb.2019.1754 ).

License: GNU General Public License (GPL) 3.0

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AutomatedCameraDanio rerioDeep LearningdiastolediastolicDorsalejection fractionestimationfractional shorteningFSHeartheartbeatheart rateImageImage ProcessingMachine LearningQuantificationSegmentationsystolesystolicTime seriesU-NetVentricleVentricle dimensionsVentricular dimensionsVideovolumeZebrafish

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