Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman-microscopy-based cytopathology.

Krauß, Sascha D; Roy, Raphael; Yosef, Hesham K; Lechtonen, Tatjana; El-Mashtoly, Samir F; Gerwert, Klaus; Mosig, Axel

Krauß, Sascha D; Roy, Raphael; Yosef, Hesham K; Lechtonen, Tatjana; El-Mashtoly, Samir F; Gerwert, Klaus; Mosig, Axel.

Afiliación

Krauß SD; Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.
Roy R; Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.
Yosef HK; Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.
Lechtonen T; Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.
El-Mashtoly SF; Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.
Gerwert K; Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.
Mosig A; Department of Biophysics, Ruhr-University Bochum, Bochum, Germany.

J Biophotonics ; 11(10): e201800022, 2018 10.

Article en En | MEDLINE | ID: mdl-29781102

Asunto(s)

Microscopía; Redes Neurales de la Computación; Patología/métodos; Humanos; Urinálisis

Palabras clave

Raman spectroscopy; neural networks; supervised machine learning; urinary bladder neoplasms

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Patología / Redes Neurales de la Computación / Microscopía Límite: Humans Idioma: En Revista: J Biophotonics Asunto de la revista: BIOFISICA Año: 2018 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania

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