Artificial intelligence to improve cytology performances in bladder carcinoma detection: results of the VisioCyt test-Reference-Cited by-同舟云学术

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

Published:2021-04-26 Issue: Volume: Page:
ISSN:1464-4096
Container-title:BJU International
language:en
Short-container-title:BJU Int

Author:

Lebret Thierry¹²^ORCID,Pignot Geraldine³,Colombel Marc⁴⁵,Guy Laurent⁶,Rebillard Xavier⁷,Savareux Laurent⁸,Roumigue Mathieu⁹,Nivet Sebastien¹⁰,Coutade Saidi Monique¹¹,Piaton Eric¹²,Radulescu Camelia¹³

Affiliation:

1. Urology Department Foch Hospital SuresnesFrance

2. UVSQ Paris Saclay University VersaillesFrance

3. Department of Surgical Oncology 2 Institut Paoli‐Calmettes MarseilleFrance

4. Urology Department Hospices Civils de Lyon Lyon France

5. Claude Bernard University Lyon France

6. Urology Department CHU Clermont‐Ferrand and Clermont Auvergne UniversityClermont‐FerrandFrance

7. Urology Department Beausoleil Private Hospital MontpellierFrance

8. Urology Auvergne Centre Private Hospital La Chataigneraie BeaumontFrance

9. Department of Urology CHU Rangueil IUCT Oncopole Toulouse ToulouseFrance

10. VitaDX Company RennesFrance

11. Anatomo and Cytopathology Department IUCT Oncopole ToulouseFrance

12. Est Pathology Centre Woman‐Mother‐Child Hospital BronFrance

13. Anatomo and Cytopathology Department Foch Hospital Suresnes France

Publisher

Wiley

Subject

Urology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/bju.15382

Reference24 articles.

1. Guideline of guidelines: non-muscle-invasive bladder cancer

2. French ccAFU guidelines‐update 2018–2020] [Article in French];Rouprêt M;Prog Urol,2018

3. Updated 2016 EAU Guidelines on Muscle-invasive and Metastatic Bladder Cancer

4. European Association of Urology Guidelines on Upper Urinary Tract Urothelial Carcinoma: 2017 Update

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