Literature DB >> 33859414

The dawning of the age of artificial intelligence in urology.

Louise Stone1.   

Abstract

Entities:  

Mesh:

Year:  2021        PMID: 33859414     DOI: 10.1038/s41585-021-00467-z

Source DB:  PubMed          Journal:  Nat Rev Urol        ISSN: 1759-4812            Impact factor:   14.432


× No keyword cloud information.
  2 in total

1.  Artificial intelligence to improve cytology performances in bladder carcinoma detection: results of the VisioCyt test.

Authors:  Thierry Lebret; Geraldine Pignot; Marc Colombel; Laurent Guy; Xavier Rebillard; Laurent Savareux; Mathieu Roumigue; Sebastien Nivet; Monique Coutade Saidi; Eric Piaton; Camelia Radulescu
Journal:  BJU Int       Date:  2021-04-26       Impact factor: 5.588

2.  Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer.

Authors:  Frederik Wessels; Max Schmitt; Eva Krieghoff-Henning; Tanja Jutzi; Thomas S Worst; Frank Waldbillig; Manuel Neuberger; Roman C Maron; Matthias Steeg; Timo Gaiser; Achim Hekler; Jochen S Utikal; Christof von Kalle; Stefan Fröhling; Maurice S Michel; Philipp Nuhn; Titus J Brinker
Journal:  BJU Int       Date:  2021-05-05       Impact factor: 5.588

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.