A Deep-Learning-Computed Cancer Score for the Identification of Human Hepatocellular Carcinoma Area Based on a Six-Colour Multiplex Immunofluorescence Panel.

Dievernich, Axel; Stegmaier, Johannes; Achenbach, Pascal; Warkentin, Svetlana; Braunschweig, Till; Neumann, Ulf Peter; Klinge, Uwe

Dievernich, Axel; Stegmaier, Johannes; Achenbach, Pascal; Warkentin, Svetlana; Braunschweig, Till; Neumann, Ulf Peter; Klinge, Uwe.

Afiliación

Dievernich A; Department of General, Visceral and Transplant Surgery, University Hospital RWTH Aachen, 52074 Aachen, Germany.
Stegmaier J; Forschungs-und Entwicklungsgesellschaft FEG Textiltechnik, 52070 Aachen, Germany.
Achenbach P; Institute of Imaging and Computer Vision, RWTH Aachen University, 52074 Aachen, Germany.
Warkentin S; Department of Neurology, University Hospital RWTH Aachen, 52074 Aachen, Germany.
Braunschweig T; Institute of Neuropathology, University Hospital RWTH Aachen, 52074 Aachen, Germany.
Neumann UP; Institute of Pathology, University Hospital RWTH Aachen, 52074 Aachen, Germany.
Klinge U; Institute of Pathology, University Hospital RWTH Aachen, 52074 Aachen, Germany.

Cells ; 12(7)2023 04 02.

Article en En | MEDLINE | ID: mdl-37048147

Asunto(s)

Carcinoma Hepatocelular; Aprendizaje Profundo; Neoplasias Hepáticas; Humanos; Carcinoma Hepatocelular/patología; Neoplasias Hepáticas/patología; Color; Técnica del Anticuerpo Fluorescente

Palabras clave

CNN; HCC; U-net; cancer score; convolutional neural network; fluorescence; hepatocellular carcinoma; immunofluorescence; microscopy; multiplex

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Carcinoma Hepatocelular / Aprendizaje Profundo / Neoplasias Hepáticas Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: Cells Año: 2023 Tipo del documento: Article

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