Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI.

Purpose: To evaluate the potential value of machine learning (ML)-based histogram analysis (or first-order texture analysis) on T2-weighted magnetic resonance imaging (MRI) for predicting consistency of pituitary macroadenomas (PMA) and to compare it with that of signal intensity ratio (SIR) evaluat...

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Bibliographic Details

Published in:	Neuroradiology Vol. 61; no. 7; pp. 767 - 775
Main Authors:	Zeynalova, Amalya, Kocak, Burak, Durmaz, Emine Sebnem, Comunoglu, Nil, Ozcan, Kerem, Ozcan, Gamze, Turk, Okan, Tanriover, Necmettin, Kocer, Naci, Kizilkilic, Osman, Islak, Civan
Format:	diagnostic images pictorial research tables/charts Journal Article
Published:	Springer Nature Jul2019
Online Access:	View this record in EBSCOhost