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

Götz, Michael; Nolden, Marco; Maier-Hein, Klaus

Götz, Michael; Nolden, Marco; Maier-Hein, Klaus.

Afiliación

Götz M; 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.
Nolden M; Medical Imaging Components, Division Medical Image Computing, DKFZ Heidelberg, Germany.
Maier-Hein K; Medical Image Analysis, Division Medical Image Computing, DKFZ Heidelberg, Germany.

Radiother Oncol ; 131: 108-111, 2019 02.

Article en En | MEDLINE | ID: mdl-30773176

ABSTRACT

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.

Asunto(s)

Aumento de la Imagen/métodos; Procesamiento de Imagen Asistido por Computador/métodos; Algoritmos; Humanos; Fenotipo; Medicina de Precisión/métodos; Programas Informáticos

Palabras clave

Image phenotyping; Machine learning; Open source software; Personalized medicine; Radiology image processing; Radiomics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Aumento de la Imagen Límite: Humans Idioma: En Revista: Radiother Oncol Año: 2019 Tipo del documento: Article

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