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Deep Learning: a Promising Method for Histological Class Prediction of Breast Tumors in Mammography.
Nica, Raluca-Elena; Șerbanescu, Mircea-Sebastian; Florescu, Lucian-Mihai; Camen, Georgiana-Cristiana; Streba, Costin Teodor; Gheonea, Ioana-Andreea.
Afiliação
  • Nica RE; Doctoral School, University of Medicine and Pharmacy of Craiova, 2-4 Petru Rareș Street, 200349, Craiova, Romania.
  • Șerbanescu MS; Department of Radiology and Medical Imaging, Emergency Clinical County Hospital of Craiova, 1 Tabaci Street, 200642, Craiova, Romania.
  • Florescu LM; Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, 2-4 Petru Rareș Street, 200349, Craiova, Romania. mircea_serbanescu@yahoo.com.
  • Camen GC; Department of Radiology and Medical Imaging, Emergency Clinical County Hospital of Craiova, 1 Tabaci Street, 200642, Craiova, Romania.
  • Streba CT; Department of Radiology and Medical Imaging, University of Medicine and Pharmacy of Craiova, 2-4 Petru Rareș Street, 200349, Craiova, Romania.
  • Gheonea IA; Department of Radiology and Medical Imaging, Emergency Clinical County Hospital of Craiova, 1 Tabaci Street, 200642, Craiova, Romania.
J Digit Imaging ; 34(5): 1190-1198, 2021 10.
Article em En | MEDLINE | ID: mdl-34505960
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Idioma: En Ano de publicação: 2021 Tipo de documento: Article