Cargando…
A Deep Learning Model for Cervical Cancer Screening on Liquid-Based Cytology Specimens in Whole Slide Images
SIMPLE SUMMARY: In this pilot study, we aimed to investigate the use of deep learning for the classification of whole-slide images of liquid-based cytology specimens into neoplastic and non-neoplastic. To do so, we used a large training and test sets. Overall, the model achieved good classification...
Autores principales: | Kanavati, Fahdi, Hirose, Naoki, Ishii, Takahiro, Fukuda, Ayaka, Ichihara, Shin, Tsuneki, Masayuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909106/ https://www.ncbi.nlm.nih.gov/pubmed/35267466 http://dx.doi.org/10.3390/cancers14051159 |
Ejemplares similares
-
Deep Learning-Based Screening of Urothelial Carcinoma in Whole Slide Images of Liquid-Based Cytology Urine Specimens
por: Tsuneki, Masayuki, et al.
Publicado: (2022) -
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images
por: Kanavati, Fahdi, et al.
Publicado: (2021) -
Deep Learning Models for Poorly Differentiated Colorectal Adenocarcinoma Classification in Whole Slide Images Using Transfer Learning
por: Tsuneki, Masayuki, et al.
Publicado: (2021) -
Inference of core needle biopsy whole slide images requiring definitive therapy for prostate cancer
por: Tsuneki, Masayuki, et al.
Publicado: (2023) -
Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images
por: Kanavati, Fahdi, et al.
Publicado: (2021)