Semantic Scholar Open Access 2019 90 sitasi

Performance of an artificial intelligence algorithm for reporting urine cytopathology

Adit B Sanghvi Erastus Allen Keith M Callenberg L. Pantanowitz

Abstrak

Unlike Papanicolaou tests, there are no commercially available computer‐assisted automated screening systems for urine specimens. Despite The Paris System for Reporting Urinary Cytology, there still is poor interobserver agreement with urine cytology and many cases in which a definitive diagnosis cannot be made. In the current study, the authors have reported on the development of an image algorithm that applies computational methods to digitized liquid‐based urine cytology slides.

Topik & Kata Kunci

Penulis (4)

A

Adit B Sanghvi

E

Erastus Allen

K

Keith M Callenberg

L

L. Pantanowitz

Format Sitasi

Sanghvi, A.B., Allen, E., Callenberg, K.M., Pantanowitz, L. (2019). Performance of an artificial intelligence algorithm for reporting urine cytopathology. https://doi.org/10.1002/cncy.22176

Akses Cepat

Lihat di Sumber doi.org/10.1002/cncy.22176
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
90×
Sumber Database
Semantic Scholar
DOI
10.1002/cncy.22176
Akses
Open Access ✓