Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides

During the diagnostic workup of lung adenocarcinomas (LAC), pathologists evaluate distinct histological tumor growth patterns. The percentage of each pattern on multiple slides bears prognostic significance. To assist with the quantification of growth patterns, we constructed a pipeline equipped wit...

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Detalles Bibliográficos
Autores principales: Gertych, Arkadiusz, Swiderska-Chadaj, Zaneta, Ma, Zhaoxuan, Ing, Nathan, Markiewicz, Tomasz, Cierniak, Szczepan, Salemi, Hootan, Guzman, Samuel, Walts, Ann E., Knudsen, Beatrice S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6365499/
https://www.ncbi.nlm.nih.gov/pubmed/30728398
http://dx.doi.org/10.1038/s41598-018-37638-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6365499/
https://www.ncbi.nlm.nih.gov/pubmed/30728398
http://dx.doi.org/10.1038/s41598-018-37638-9

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