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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

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作者： Abels Esther ^[1] ; Pantanowitz Liron ^[2] ; Aeffner Famke ^[3] ; Zarella Mark D ^[4] ; Laak Jeroen ^[5] ; Bui Marilyn M ^[6] ; Vemuri Venkata NP ^[7] ; Parwani Anil V ^[8] ; Gibbs Jeff ^[9] ; Agosto‐Arroyo Emmanuel ^[10] ; Beck Andrew H ^[11] ; Kozlowski Cleopatra

作者单位： PathAIBoston,MA,USA ^[1] Department of PathologyRadboud University Medical CenterNijmegen,The Netherlands ^[2] Department of PathologyThe Ohio State UniversityColumbus,OH,USA ^[3] Department of PathologyMoffitt Cancer CenterTampa,FL,USA ^[4] Department of PathologyUniversity of Pittsburgh Medical CenterPittsburgh,PA,USA ^[5] Data Science DepartmentChan Zuckerberg BiohubSan Francisco,CA,USA ^[6] Department of Development SciencesGenentech Inc.South San Francisco,CA,USA ^[7] Amgen Research, Comparative Biology and Safety SciencesAmgen Inc.South San Francisco,CA,USA ^[8] Regulatory and Clinical AffairsPathAIBoston,MA,USA ^[9] Department of Pathology and Laboratory MedicineDrexel University College of MedicinePhiladelphia,PA ^[10] Hyman, Phelps & McNamara, P.CWashington,DC,USA ^[11]

关键词 artificial intelligence computational pathology convolutional neural networks digital pathology deep learning image analysis machine learning

发布时间 2020-02-26

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