Multivariable Diagnostic Prediction Model to Detect Hormone Secretion Profile From T2W MRI Radiomics with Artificial Neural Networks in Pituitary Adenomas

OBJECTIVE: This study aims to develop neural networks to detect hormone secretion profiles in the pituitary adenomas based on T2 weighted magnetic resonance imaging (MRI) radiomics. METHODS: This retrospective model-development study included a cohort of patients with pituitary adenomas (n=130) from...

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Detalles Bibliográficos
Autores principales: BAYSAL, Begumhan, ESER, Mehmet Bilgin, DOGAN, Mahmut Bilal, KURSUN, Muhammet Arif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939455/
https://www.ncbi.nlm.nih.gov/pubmed/35306784
http://dx.doi.org/10.4274/MMJ.galenos.2022.58538

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939455/
https://www.ncbi.nlm.nih.gov/pubmed/35306784
http://dx.doi.org/10.4274/MMJ.galenos.2022.58538

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