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.

Afiliação

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 em En | MEDLINE | ID: mdl-32679230

Assuntos

Decídua/patologia; Placenta/patologia; Pré-Eclâmpsia/patologia; Doenças Vasculares/patologia; Adulto; Feminino; Humanos; Recém-Nascido; Redes Neurais de Computação; Gravidez; Resultado da Gravidez

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Placenta / Pré-Eclâmpsia / Doenças Vasculares / Decídua Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Female / Humans / Newborn / Pregnancy Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google