In:
Cancer Cytopathology, Wiley, Vol. 131, No. 10 ( 2023-10), p. 637-654
Abstract:
The authors developed a publicly available, open‐source, interactive web application featuring a simple, easy‐to‐use display for examining urine cytology whole‐slide images and determining the atypia level of specific cells, flagging the most abnormal cells for pathologist review. This proposed computational approach for the assessment of urine cytology specimens exhibited potential to improve the efficiency, accuracy, and reliability of bladder cancer screening.
Type of Medium:
Online Resource
ISSN:
1934-662X
,
1934-6638
DOI:
10.1002/cncy.v131.10
Language:
English
Publisher:
Wiley
Publication Date:
2023
detail.hit.zdb_id:
2599218-1
detail.hit.zdb_id:
2594979-2
detail.hit.zdb_id:
1429-1
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