Deep Learning for Whole-Slide Tissue Histopathology Classification: A Comparative Study in the Identification of Dysplastic and Non-Dysplastic Barrett’s Esophagus

The gold standard of histopathology for the diagnosis of Barrett’s esophagus (BE) is hindered by inter-observer variability among gastrointestinal pathologists. Deep learning-based approaches have shown promising results in the analysis of whole-slide tissue histopathology images (WSIs). We performe...

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Detalles Bibliográficos
Autores principales: Sali, Rasoul, Moradinasab, Nazanin, Guleria, Shan, Ehsan, Lubaina, Fernandes, Philip, Shah, Tilak U., Syed, Sana, Brown, Donald E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711456/
https://www.ncbi.nlm.nih.gov/pubmed/32977465
http://dx.doi.org/10.3390/jpm10040141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711456/
https://www.ncbi.nlm.nih.gov/pubmed/32977465
http://dx.doi.org/10.3390/jpm10040141

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