CT-Based Deep Learning Model for Invasiveness Classification and Micropapillary Pattern Prediction Within Lung Adenocarcinoma

Objective: Identification of tumor invasiveness of pulmonary adenocarcinomas before surgery is one of the most important guides to surgical planning. Additionally, preoperative diagnosis of lung adenocarcinoma with micropapillary patterns is also critical for clinical decision making. We aimed to ev...

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Detalles Bibliográficos
Autores principales: Ding, Hanlin, Xia, Wenjie, Zhang, Lei, Mao, Qixing, Cao, Bowen, Zhao, Yihang, Xu, Lin, Jiang, Feng, Dong, Gaochao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388896/
https://www.ncbi.nlm.nih.gov/pubmed/32775302
http://dx.doi.org/10.3389/fonc.2020.01186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388896/
https://www.ncbi.nlm.nih.gov/pubmed/32775302
http://dx.doi.org/10.3389/fonc.2020.01186

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