Artificial Intelligence-based Tumor Segmentation in Mouse Models of Lung Adenocarcinoma

BACKGROUND: Mouse models are highly effective for studying the pathophysiology of lung adenocarcinoma and evaluating new treatment strategies. Treatment efficacy is primarily determined by the total tumor burden measured on excised tumor specimens. The measurement process is time-consuming and prone...

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Detalles Bibliográficos
Autores principales: Arlova, Alena, Jin, Chengcheng, Wong-Rolle, Abigail, Chen, Eric S., Lisle, Curtis, Brown, G. Thomas, Lay, Nathan, Choyke, Peter L., Turkbey, Baris, Harmon, Stephanie, Zhao, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860735/
https://www.ncbi.nlm.nih.gov/pubmed/35242446
http://dx.doi.org/10.1016/j.jpi.2022.100007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860735/
https://www.ncbi.nlm.nih.gov/pubmed/35242446
http://dx.doi.org/10.1016/j.jpi.2022.100007

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