A Study on the Application of Deep Learning Model by Using ACR Phantom in CT Quality Control

Eun-Been Choi, Si-On Kim, Seung-Won Choi, Jae-Hee Kim, Young-Kyun Kim, Dong-Kyun Han

Journal of Radiological Science and Technology :: Vol.46 No.6 pp.535-542

DOI:https://doi.org/10.17946/JRST.2023.46.6.535

Performance Evaluation of ResNet-based Pneumonia Detection Model with the Small Number of Layers Using Chest X-ray Images

Youngeun Choi, Seungwan Lee

Journal of Radiological Science and Technology :: Vol.46 No.4 pp.277-285

DOI:https://doi.org/10.17946/JRST.2023.46.4.277

Enhancing CT Image Quality Using Conditional Generative Adversarial Networks for Applying Post-mortem Computed Tomography in Forensic Pathology: A Phantom Study

Yebin Yoon, Jinhaeng Heo, Yeji Kim, Hyejin Jo, Yongsu Yoon

Journal of Radiological Science and Technology :: Vol.46 No.4 pp.315-323

DOI:https://doi.org/10.17946/JRST.2023.46.4.315

Evaluating Usefulness of Deep Learning Based Left Ventricle Segmentation in Cardiac Gated Blood Pool Scan

Joo-Young Oh, Eui-Hwan Jeong, Joo-Young Lee, Hoon-Hee Park

Journal of Radiological Science and Technology :: Vol.45 No.2 pp.151-158

DOI:https://doi.org/10.17946/JRST.2022.45.2.151

Application of Deep Learning-Based Nuclear Medicine Lung Study Classification Model

Eui-Hwan Jeong, Joo-Young Oh, Ju-Young Lee, Hoon-Hee Park

Journal of Radiological Science and Technology :: Vol.45 No.1 pp.41-47

DOI:https://doi.org/10.17946/JRST.2022.45.1.41

Deep Learning Application of Gamma Camera Quality Control in Nuclear Medicine

Euihwan Jeong, Joo-Young Oh, Joo-Young Lee, Hoon-Hee Park

Journal of Radiological Science and Technology :: Vol.43 No.6 pp.461-467

DOI:https://doi.org/10.17946/JRST.2020.43.6.461

Artificial Intelligence Based Medical Imaging: An Overview

Hong Jun-Yong, Park Sang Hyun, Jung Young-Jin

Journal of Radiological Science and Technology :: Vol.43 No.3 pp.195-208

DOI:https://doi.org/10.17946/JRST.2020.43.3.195