Detecting and grading prostate cancer in radical prostatectomy specimens through deep learning techniques.

Journal: Clinics (Sao Paulo, Brazil)
Published Date: Oct 29, 2021

Abstract

OBJECTIVES: This study aims to evaluate the ability of deep learning algorithms to detect and grade prostate cancer (PCa) in radical prostatectomy specimens.

Authors

  • Petronio Augusto de Souza Melo
    Laboratorio de Pesquisa Medica - LIM55, Divisao de Urologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Carmen Liane Neubarth Estivallet
    Laboratorio de Pesquisa Medica - LIM55, Divisao de Urologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Miguel Srougi
    Division of Urology, Hospital das Clínicas de São Paulo, University of Sao Paulo Medical School, Av. Enéas de Carvalho Aguiar,255, São Paulo, SP, 05403-000, Brazil.
  • William Carlos Nahas
    Laboratorio de Pesquisa Medica - LIM55, Divisao de Urologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.
  • Katia Ramos Moreira Leite
    Laboratorio de Pesquisa Medica - LIM55, Divisao de Urologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR.

Keywords

External Resources

Popular Topics
Recent Journals