Skip Navigation
Skip to contents
Results by Year

View Wide

Filter

ARTICLE TYPE

PUBLICATION DATE

4 results
Display

Current Status of Magnetic Resonance Imaging in Patients with Malignant Uterine Neoplasms: A Review

Huang YT, Huang YL, Ng KK, Lin G

In this study, we summarize the clinical role of magnetic resonance imaging (MRI) in the diagnosis of patients with malignant uterine neoplasms, including leiomyosarcoma, endometrial stromal sarcoma, adenosarcoma, uterine carcinosarcoma,...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Spinal Dural Arteriovenous Fistula: Imaging Features and Its Mimics

Jeng Y, Chen DY, Hsu HL, Huang YL, Chen CJ, Tseng YC

Spinal dural arteriovenous fistula (SDAVF) is the most common spinal vascular malformation, however it is still rare and underdiagnosed. Magnetic resonance imaging findings such as spinal cord edema and dilated...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Influence of Gender on Serum Growth Hormone, Insulin-Like Growth Factor-I and Its Binding Protein-3 during Aging

Lin CM, Huang YL, Lin ZY

PURPOSE: The serum concentrations of insulin-like growth factors-I (IGF-I), insulin-like growth factor binding protein-3 (IGFBP-3) and growth hormone (GH) are related to body composition, function and metabolism, and are influenced...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Comparative Analysis of Logistic Regression, Support Vector Machine and Artificial Neural Network for the Differential Diagnosis of Benign and Malignant Solid Breast Tumors by the Use of Three-Dimensional Power Doppler Imaging

Chen ST, Hsiao YH, Huang YL, Kuo SJ, Tseng HS, Wu HK, Chen DR

OBJECTIVE: Logistic regression analysis (LRA), Support Vector Machine (SVM) and a neural network (NN) are commonly used statistical models in computer-aided diagnostic (CAD) systems for breast ultrasonography (US). The aim...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close

Go to Top

Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr