Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion

OBJECTIVE: To evaluate the performance of 2D and 3D radiomics features with different machine learning approaches to classify SPLs based on magnetic resonance(MR) T2 weighted imaging (T2WI). MATERIAL AND METHODS: A total of 132 patients with pathologically confirmed SPLs were examined and randomly d...

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Detalles Bibliográficos
Autores principales: Wan, Qi, Zhou, Jiaxuan, Xia, Xiaoying, Hu, Jianfeng, Wang, Peng, Peng, Yu, Zhang, Tianjing, Sun, Jianqing, Song, Yang, Yang, Guang, Li, Xinchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637439/
https://www.ncbi.nlm.nih.gov/pubmed/34868905
http://dx.doi.org/10.3389/fonc.2021.683587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637439/
https://www.ncbi.nlm.nih.gov/pubmed/34868905
http://dx.doi.org/10.3389/fonc.2021.683587

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