Deep Learning Analysis of CT Images Reveals High-Grade Pathological Features to Predict Survival in Lung Adenocarcinoma

SIMPLE SUMMARY: The high-grade pattern (micropapillary or solid pattern, MPSol) in lung adenocarcinoma affects the patient’s poor prognosis. We aimed to develop a deep learning (DL) model for predicting any high-grade patterns in lung adenocarcinoma and to assess the prognostic performance of model...

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Detalles Bibliográficos
Autores principales: Choi, Yeonu, Aum, Jaehong, Lee, Se-Hoon, Kim, Hong-Kwan, Kim, Jhingook, Shin, Seunghwan, Jeong, Ji Yun, Ock, Chan-Young, Lee, Ho Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391458/
https://www.ncbi.nlm.nih.gov/pubmed/34439230
http://dx.doi.org/10.3390/cancers13164077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391458/
https://www.ncbi.nlm.nih.gov/pubmed/34439230
http://dx.doi.org/10.3390/cancers13164077

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