Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI

被引：0

作者：

Burak Kocak

Emine Sebnem Durmaz

Pinar Kadioglu

Ozge Polat Korkmaz

Nil Comunoglu

Necmettin Tanriover

Naci Kocer

Civan Islak

Osman Kizilkilic

机构：

[1] Istanbul Training and Research Hospital,Department of Radiology

[2] Istanbul University-Cerrahpasa,Department of Radiology, Cerrahpasa Medical Faculty

[3] Istanbul University-Cerrahpasa,Department of Endocrinology and Metabolism, Cerrahpasa Medical Faculty

[4] Istanbul University-Cerrahpasa,Department of Pathology, Cerrahpasa Medical Faculty

[5] Istanbul University-Cerrahpasa,Department of Neurosurgery, Cerrahpasa Medical Faculty

来源：

European Radiology | 2019年 / 29卷

关键词：

Acromegaly; Growth hormone-secreting pituitary adenoma; Machine learning; Magnetic resonance imaging; Somatostatin;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：2731 / 2739

页数：8

共 33 条