Deep Learning-Based Screening of Urothelial Carcinoma in Whole Slide Images of Liquid-Based Cytology Urine Specimens

SIMPLE SUMMARY: In this study, we aimed to investigate the use of deep learning for classifying whole-slide images of urine liquid-based cytology specimens into neoplastic and non-neoplastic (negative). To do so, we used a total of 786 whole-slide images to train models using four different approach...

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Detalles Bibliográficos
Autores principales: Tsuneki, Masayuki, Abe, Makoto, Kanavati, Fahdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818219/
https://www.ncbi.nlm.nih.gov/pubmed/36612222
http://dx.doi.org/10.3390/cancers15010226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818219/
https://www.ncbi.nlm.nih.gov/pubmed/36612222
http://dx.doi.org/10.3390/cancers15010226

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