MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics.

Journal: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

Published Date: Dec 31, 2018

Abstract

Radiomics - The extraction of quantitative features from radiologic images - shows increasing potential in contributing to modern personalized medicine approaches. MITK Phenotyping is an openly distributed radiomics framework implementing an exhaustive set of features, adhering to most recent international standards, and supporting a variety of different user interfaces and programming languages.

Authors

Michael Götz

Medical Image Analysis, Division Medical Image Computing, DKFZ Heidelberg, Germany; National Center for Tumor Diseases (NCT), Heidelberg, Germany. Electronic address: m.goetz@dkfz-heidelberg.de.
Marco Nolden

Medical Imaging Components, Division Medical Image Computing, DKFZ Heidelberg, Germany.
Klaus Maier-Hein

Medical Image Analysis, Division Medical Image Computing, DKFZ Heidelberg, Germany.

Keywords

Algorithms Humans Image Enhancement Image Processing, Computer-Assisted Phenotype Precision Medicine Software

External Resources

View on PubMed Access via DOI PubMed (30773176)

MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics.

Abstract

Authors

Keywords

External Resources

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