Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions

BACKGROUND: This study set out to develop a computed tomography (CT)-based wavelet transforming radiomics approach for grading pulmonary lesions caused by COVID-19 and to validate it using real-world data. METHODS: This retrospective study analyzed 111 patients with 187 pulmonary lesions from 16 hos...

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Detalles Bibliográficos
Autores principales: Jiang, Zekun, Yin, Jin, Han, Peilun, Chen, Nan, Kang, Qingbo, Qiu, Yue, Li, Yiyue, Lao, Qicheng, Sun, Miao, Yang, Dan, Huang, Shan, Qiu, Jiajun, Li, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511418/
https://www.ncbi.nlm.nih.gov/pubmed/36185061
http://dx.doi.org/10.21037/qims-22-252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511418/
https://www.ncbi.nlm.nih.gov/pubmed/36185061
http://dx.doi.org/10.21037/qims-22-252

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