Fully Automated Abdominal CT Biomarkers for Type 2 Diabetes Using Deep Learning
- 5 April 2022
- journal article
- research article
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 304 (1) , 85-95
Abstract
Deep learning methods demonstrated an association between abdominal CT biomarkers and the diagnosis of type 2 diabetes mellitus. Background CT biomarkers both inside and outside the pancreas can potentially be used to diagnose type 2 diabetes mellitus. Previous studies on this topic have shown significant results but were li...Keywords
Funding Information
- National Institutes of Health
This publication has 28 references indexed in Scilit:
- A Novel Visceral Adiposity Index for Prediction of Type 2 Diabetes and Pre-diabetes in Chinese adults: A 5-year prospective studyScientific Reports, 2017
- Pancreatic size and fat content in diabetes: A systematic review and meta-analysis of imaging studiesPLOS ONE, 2017
- Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CTIEEE Transactions on Biomedical Engineering, 2016
- DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation2015
- Global estimates of undiagnosed diabetes in adultsDiabetes Research and Clinical Practice, 2014
- Pancreas volumes in humans from birth to age one hundred taking into account sex, obesity, and presence of type‐2 diabetesClinical Anatomy, 2007
- Spectrum of Liver Disease in Type 2 Diabetes and Management of Patients With Diabetes and Liver DiseaseDiabetes Care, 2007
- Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention StudyThe Lancet, 2006
- Computed Tomographic Virtual Colonoscopy to Screen for Colorectal Neoplasia in Asymptomatic AdultsNew England Journal of Medicine, 2003
- The density, contour, and thickness of the pancreas in diabetics: CT findings in 57 patients.American Journal of Roentgenology, 1992