
Endometrial Carcinoma: Texture Analysis of Apparent Diffusion Coefficient Maps and Its Correlation with Histopathologic Findings and Prognosis
Author(s) -
Ichiro Yamada,
Naoyuki Matsuda,
Daisuke Kobayashi,
Kimio Wakana,
Nobuyuki Oshima,
Akira Wakabayashi,
Junichiro Sakamoto,
Yukihisa Saida,
Ukihide Tateishi,
Yoshinobu Eishi
Publication year - 2019
Publication title -
radiology. imaging cancer
Language(s) - English
Resource type - Journals
ISSN - 2638-616X
DOI - 10.1148/rycan.2019190054
Subject(s) - medicine , effective diffusion coefficient , hazard ratio , receiver operating characteristic , diffusion mri , nuclear medicine , proportional hazards model , carcinoma , texture (cosmology) , correlation , radiology , magnetic resonance imaging , confidence interval , artificial intelligence , mathematics , computer science , image (mathematics) , geometry