Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan

PURPOSE: To compare the diagnostic performance of radiomic analysis with machine learning (ML) model with a convolutional neural network (CNN) in differentiating thymic epithelial tumors (TETs) from other prevascular mediastinal tumors (PMTs). METHODS: A retrospective study was performed in patients...

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Detalles Bibliográficos
Autores principales: Chang, Chao-Chun, Tang, En-Kuei, Wei, Yu-Feng, Lin, Chia-Ying, Wu, Fu-Zong, Wu, Ming-Ting, Liu, Yi-Sheng, Yen, Yi-Ting, Ma, Mi-Chia, Tseng, Yau-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151670/
https://www.ncbi.nlm.nih.gov/pubmed/37143945
http://dx.doi.org/10.3389/fonc.2023.1105100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151670/
https://www.ncbi.nlm.nih.gov/pubmed/37143945
http://dx.doi.org/10.3389/fonc.2023.1105100

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