Utilizing the Orange Platform for Enhancing Artificial Intelligence Education in the Department of Radiological Science at Universities

Kyoungho Choi

Journal of Radiological Science and Technology :: Vol.47 No.4 pp.255-262

DOI:https://doi.org/10.17946/JRST.2024.47.4.255

Prediction of Delivery Quality Assurance Via Machine Learning in Helical Tomotherapy

Kyung Hwan Chang

Journal of Radiological Science and Technology :: Vol.47 No.4 pp.263-270

DOI:https://doi.org/10.17946/JRST.2024.47.4.263

A Study on Predictive Modeling of I-131 Radioactivity Based on Machine Learning

Yeon-Wook You, Chung-Wun Lee, Jung-Soo Kim

Journal of Radiological Science and Technology :: Vol.46 No.2 pp.131-139

DOI:https://doi.org/10.17946/JRST.2023.46.2.131

Comparison of Machine Learning Classification Models for the Development of Simulators for General X-ray Examination Education

In-Ja Lee, Chae-Yeon Park, Jun-Ho Lee

Journal of Radiological Science and Technology :: Vol.45 No.2 pp.111-116

DOI:https://doi.org/10.17946/JRST.2022.45.2.111

Predictive of Osteoporosis by Tree-based Machine Learning Model in Post-menopause Woman

In-Ja Lee, Junho Lee

Journal of Radiological Science and Technology :: Vol.43 No.6 pp.495-502

DOI:https://doi.org/10.17946/JRST.2020.43.6.495

Comparison of CT Exposure Dose Prediction Models Using Machine Learning-based Body Measurement Information

Dong-Hee Hong

Journal of Radiological Science and Technology :: Vol.43 No.6 pp.503-509

DOI:https://doi.org/10.17946/JRST.2020.43.6.503

A Feasibility Study on the Improvement of Diagnostic Accuracy for Energy-selective Digital Mammography using Machine Learning

Jisoo Eom, Seungwan Lee, Burnyoung Kim

Journal of Radiological Science and Technology :: Vol.42 No.1 pp.9-17

DOI:https://doi.org/10.17946/JRST.2019.42.1.9