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Deep learning for myocardial ischemia auxiliary diagnosis using CZT SPECT myocardial perfusion imaging
Ting Yi Su
, Jui Jen Chen
, Wei Shiang Chen
, Yen Hsiang Chang
*
,
Henry Horng Shing Lu
*
*
此作品的通信作者
統計學研究所
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5
引文 斯高帕斯(Scopus)
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Keyphrases
Deep Learning
100%
Coronary Artery Disease
100%
Myocardial Ischemia
100%
CZT-SPECT
100%
SPECT Myocardial Perfusion Imaging
100%
Auxiliary Diagnosis
100%
Deep Learning Methods
66%
Kaohsiung
66%
Convolutional Neural Network Model
66%
Taiwan
33%
Cardiovascular Disease
33%
World Health Organization
33%
Medical Experts
33%
Medical Center
33%
Image Interpretation
33%
Feature-based
33%
Image States
33%
Single-photon Emission Computed Tomography (SPECT)
33%
Heart Disease
33%
Resting State
33%
Heart Blood
33%
Grayscale Image
33%
Chang Gung Memorial Hospital
33%
Cause of Death
33%
Heart Disease Diagnosis
33%
Most Common Cause
33%
Area under the Curve
33%
Annotated Images
33%
Computed Tomography Perfusion
33%
YOLOv5
33%
Quality of Medical Care
33%
Myocardial Perfusion Image
33%
Three-dimensional Convolutional Neural Network
33%
Blood Flow Distribution
33%
Deep Learning Convolutional Neural Network
33%
Defect Area
33%
Medicine and Dentistry
Single-Photon Emission Computed Tomography
100%
Ischemic Heart Disease
100%
Heart Muscle Ischemia
100%
Myocardial Perfusion Imaging
100%
Heart Muscle Perfusion
66%
Cardiovascular Disease
33%
Heart Disease
33%
Blood Flow
33%
Medical Care
33%
Diagnosis
33%
Sensitivity and Specificity
33%
Coronary Circulation
33%
Veterinary Science and Veterinary Medicine
Myocardial Perfusion Imaging
100%
Ischemia
100%
Perfusion
100%
Cadmium Zinc Telluride
50%
Pharmacology, Toxicology and Pharmaceutical Science
Ischemic Heart Disease
100%
Heart Muscle Ischemia
100%
Heart Disease
33%
Cadmium Zinc Telluride
33%
Cardiovascular Disease
33%
Biochemistry, Genetics and Molecular Biology
Heart Muscle Perfusion
100%
Single Photon Emission Computed Tomography
100%
Blood Flow
33%
Coronary Artery Blood Flow
33%
Cadmium Zinc Telluride
33%
Chemical Engineering
Auxiliaries
100%
Deep Learning Method
100%
Neural Network
75%