Decidual Vasculopathy Identification in Whole Slide Images Using Multiresolution Hierarchical Convolutional Neural Networks.

Clymer, Daniel; Kostadinov, Stefan; Catov, Janet; Skvarca, Lauren; Pantanowitz, Liron; Cagan, Jonathan; LeDuc, Philip

Clymer, Daniel; Kostadinov, Stefan; Catov, Janet; Skvarca, Lauren; Pantanowitz, Liron; Cagan, Jonathan; LeDuc, Philip.

Afiliación

Clymer D; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Kostadinov S; Department of Pathology, University of Pittsburgh Medical Center (UPMC) Magee-Womens Hospital, Pittsburgh, Pennsylvania.
Catov J; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh Medical Center (UPMC) Magee-Womens Hospital, Pittsburgh, Pennsylvania.
Skvarca L; Department of Pathology, University of Pittsburgh Medical Center (UPMC) Magee-Womens Hospital, Pittsburgh, Pennsylvania.
Pantanowitz L; Department of Pathology, UPMC Shadyside Hospital, Pittsburgh, Pennsylvania.
Cagan J; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania. Electronic address: cagan@cmu.edu.
LeDuc P; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania. Electronic address: prl@andrew.cmu.edu.

Am J Pathol ; 190(10): 2111-2122, 2020 10.

Article en En | MEDLINE | ID: mdl-32679230

Asunto(s)

Decidua/patología; Placenta/patología; Preeclampsia/patología; Enfermedades Vasculares/patología; Adulto; Femenino; Humanos; Recién Nacido; Redes Neurales de la Computación; Embarazo; Resultado del Embarazo

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Placenta / Preeclampsia / Enfermedades Vasculares / Decidua Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Female / Humans / Newborn / Pregnancy Idioma: En Revista: Am J Pathol Año: 2020 Tipo del documento: Article

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