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

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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Bibliographic Details
Main Authors: Begumhan BAYSAL, Mehmet Bilgin ESER, Mahmut Bilal DOGAN, Muhammet Arif KURSUN
Format: Article
Language:English
Published: Galenos Publishing House 2022-03-01
Series:Medeniyet Medical Journal
Subjects:
pituitary adenoma
magnetic resonance imaging
machine learning
artificial intelligence
radiomics
Online Access:https://jag.journalagent.com/z4/download_fulltext.asp?pdir=medeniyet&un=MEDJ-58538
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