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
收藏
页码：2731 / 2739
页数：8
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