Diagnostic Performance of Deep Learning Algorithms Applied to Three Common Diagnoses in Dermatopathology.

Olsen, Thomas George; Jackson, B Hunter; Feeser, Theresa Ann; Kent, Michael N; Moad, John C; Krishnamurthy, Smita; Lunsford, Denise D; Soans, Rajath E

Olsen, Thomas George; Jackson, B Hunter; Feeser, Theresa Ann; Kent, Michael N; Moad, John C; Krishnamurthy, Smita; Lunsford, Denise D; Soans, Rajath E.

Afiliación

Olsen TG; Department of Dermatology, Boonshoft School of Medicine, Wright State University School of Medicine, Dayton, Ohio, USA.
Jackson BH; Dermatopathology Laboratory of Central States, Dayton, Ohio, USA.
Feeser TA; Proscia Inc., Philadelphia, Pennsylvania, USA.
Kent MN; Dermatopathology Laboratory of Central States, Dayton, Ohio, USA.
Moad JC; Department of Dermatology, Boonshoft School of Medicine, Wright State University School of Medicine, Dayton, Ohio, USA.
Krishnamurthy S; Dermatopathology Laboratory of Central States, Dayton, Ohio, USA.
Lunsford DD; Department of Dermatology, Boonshoft School of Medicine, Wright State University School of Medicine, Dayton, Ohio, USA.
Soans RE; Dermatopathology Laboratory of Central States, Dayton, Ohio, USA.

J Pathol Inform ; 9: 32, 2018.

Article en En | MEDLINE | ID: mdl-30294501

Palabras clave

Artificial intelligence; computational pathology; computer-aided diagnosis; deep learning algorithm; dermatopathology; digital pathology; whole slide images

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: J Pathol Inform Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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