Deep learning techniques for detecting preneoplastic and neoplastic lesions in human colorectal histological images

Trained pathologists base colorectal cancer identification on the visual interpretation of microscope images. However, image labeling is not always straightforward and this repetitive task is prone to mistakes due to human distraction. Significant efforts are underway to develop informative tools to...

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Detalles Bibliográficos
Autores principales: Sena, Paola, Fioresi, Rita, Faglioni, Francesco, Losi, Lorena, Faglioni, Giovanni, Roncucci, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865164/
https://www.ncbi.nlm.nih.gov/pubmed/31788084
http://dx.doi.org/10.3892/ol.2019.10928

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865164/
https://www.ncbi.nlm.nih.gov/pubmed/31788084
http://dx.doi.org/10.3892/ol.2019.10928

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