Prediction of high infiltration levels in pituitary adenoma using MRI-based radiomics and machine learning

BACKGROUND: Infiltration is important for the surgical planning and prognosis of pituitary adenomas. Differences in preoperative diagnosis have been noted. The aim of this article is to assess the accuracy of machine learning analysis of texture-derived parameters of pituitary adenoma obtained from...

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Detalles Bibliográficos
Autores principales: Zhang, Chao, Heng, Xueyuan, Neng, Wenpeng, Chen, Haixin, Sun, Aigang, Li, Jinxing, Wang, Mingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373412/
https://www.ncbi.nlm.nih.gov/pubmed/35962442
http://dx.doi.org/10.1186/s41016-022-00290-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373412/
https://www.ncbi.nlm.nih.gov/pubmed/35962442
http://dx.doi.org/10.1186/s41016-022-00290-4

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