Deep Learning to Predict the Cell Proliferation and Prognosis of Non-Small Cell Lung Cancer Based on FDG-PET/CT Images

(1) Background: Cell proliferation (Ki-67) has important clinical value in the treatment and prognosis of non-small cell lung cancer (NSCLC). However, current detection methods for Ki-67 are invasive and can lead to incorrect results. This study aimed to explore a deep learning classification model...

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Detalles Bibliográficos
Autores principales: Hu, Dehua, Li, Xiang, Lin, Chao, Wu, Yonggang, Jiang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573026/
https://www.ncbi.nlm.nih.gov/pubmed/37835850
http://dx.doi.org/10.3390/diagnostics13193107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573026/
https://www.ncbi.nlm.nih.gov/pubmed/37835850
http://dx.doi.org/10.3390/diagnostics13193107

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