Grading of lung adenocarcinomas with simultaneous segmentation by artificial intelligence (GLASS-AI)

Preclinical genetically engineered mouse models (GEMMs) of lung adenocarcinoma are invaluable for investigating molecular drivers of tumor formation, progression, and therapeutic resistance. However, histological analysis of these GEMMs requires significant time and training to ensure accuracy and c...

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Detalles Bibliográficos
Autores principales: Lockhart, John H., Ackerman, Hayley D., Lee, Kyubum, Abdalah, Mahmoud, Davis, Andrew John, Hackel, Nicole, Boyle, Theresa A., Saller, James, Keske, Aysenur, Hänggi, Kay, Ruffell, Brian, Stringfield, Olya, Cress, W. Douglas, Tan, Aik Choon, Flores, Elsa R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354042/
https://www.ncbi.nlm.nih.gov/pubmed/37464050
http://dx.doi.org/10.1038/s41698-023-00419-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354042/
https://www.ncbi.nlm.nih.gov/pubmed/37464050
http://dx.doi.org/10.1038/s41698-023-00419-3

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