MITK Phenotyping: an open-source toolchain for image-based personalized medicine with radiomics
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 intern...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
2019
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| In: |
Radiotherapy and oncology
Year: 2018, Volume: 131, Pages: 108-111 |
| ISSN: | 1879-0887 |
| DOI: | 10.1016/j.radonc.2018.11.021 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1016/j.radonc.2018.11.021 Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S0167814018336156 |
| Author Notes: | Michael Götz, Marco Nolden, Klaus Maier-Hein |
| Summary: | 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. |
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| Item Description: | Available online 31 December 2018 Gesehen am 24.09.2019 |
| Physical Description: | Online Resource |
| ISSN: | 1879-0887 |
| DOI: | 10.1016/j.radonc.2018.11.021 |