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Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI
PURPOSE: Pituitary macroadenoma consistency can influence the ease of lesion removal during surgery, especially when using a transsphenoidal approach. Unfortunately, it is not assessable on standard qualitative MRI. Radiomic texture analysis could help in extracting mineable quantitative tissue char...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666676/ https://www.ncbi.nlm.nih.gov/pubmed/32705290 http://dx.doi.org/10.1007/s00234-020-02502-z |