Deep learning based digital cell profiles for risk stratification of urine cytology images-Reference-Cited by-同舟云学术

Deep learning based digital cell profiles for risk stratification of urine cytology images

Published:2021-02-20 Issue:7 Volume:99 Page:732-742
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Awan Ruqayya¹^ORCID,Benes Ksenija²,Azam Ayesha¹³,Song Tzu‐Hsi¹⁴,Shaban Muhammad¹,Verrill Clare⁵,Tsang Yee Wah³,Snead David³,Minhas Fayyaz¹,Rajpoot Nasir¹³⁶

Affiliation:

1. Department of Computer Science University of Warwick Coventry UK

2. The Royal Wolverhampton NHS Trust Wolverhampton UK

3. Department of Pathology University Hospitals Coventry and Warwickshire Coventry UK

4. Laboratory of Quantitative Cellular Imaging, Worcester Polytechnic Institute Worcester Massachusetts USA

5. Nuffield Department of Surgical Sciences and Oxford NIHR Biomedical Research Centre University of Oxford Oxford UK

6. The Alan Turing Institute London UK

Funder

Engineering and Physical Sciences Research Council

UK Research and Innovation

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24313

Reference33 articles.

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4. The Paris System for Reporting Urinary Cytology: The Quest to Develop a Standardized Terminology

5. The Paris System for Reporting Urinary Cytology

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