최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Journal of biomedical engineering research : the official journal of the Korean Society of Medical & Biological Engineering, v.44 no.3, 2023년, pp.182 - 189
황호성 (을지대학교 일반대학원 의료인공지능학과) , 김동현 (을지대학교 인공지능융합시스템연구실) , 김호철 (을지대학교 일반대학원 의료인공지능학과)
CT is a medical device that acquires medical images based on Attenuation coefficient of human organs related to X-rays. In addition, using this theory, it can acquire sagittal and coronal planes and 3D images of the human body. Then, CT is essential device for universal diagnostic test. But Exposure...
Buzug TM. Computed tomography: Springer; 2011.
Prokop M. General principles of MDCT. European journal of?radiology. 2003;45:S4-S10.
Ota H, Takase K, Igarashi K, Chiba Y, Haga K, Saito H, et al.?MDCT compared with digital subtraction angiography for?assessment of lower extremity arterial occlusive disease:?importance of reviewing cross-sectional images. American?Journal of Roentgenology. 2004;182(1):201-9.
Kim KP, Gil JW, Lee BY, Lee HG. Evaluation of national?medical radiation dose. Weekly Health and Illness. 2021;14(23):1614-32.
Lee SG. Current status and policy options for high-tech medical devices in Korea: vertical and horizontal synchronization?of health policy. Journal of the Korean Medical Association.?2012;55(10):950-8.
Lee KH. https://www.newspim.com/news/view/20220928000043,?accessed on Jun. 08, 2023.
Choi MR. http://www.healthfocus.co.kr/news/articleView.html?idxno90442, accessed on Jun. 08, 2023.
Yu SJ, Seok JM, Won HS, Jo JH, Hwang DG, Seo SY. Investigation of radiation exposure dose of human body in computed?tomography. Proceedings of the Korean Magnestics Society?Conference. 2015:70-1.
MEDICAL SERVICE ACT Article 38.
Enforcement Regulations of installation and operation of?special medical equipment.
Noh SS, Um HS, Kim HC. Development of Automatized?Quantitative Analysis Method in CT Images Evaluation using?AAPM Phantom. Journal of the Institute of Electronics and?Information Engineers. 2014;51(12):163-73.
Lee KB, Cho YB, Jeong HK, Nam KC, Kim HC. The Study?on Automatized Quantitative Assessment Method of CT Image?in Quality Control: Focusing on Spatial and Low Contrast Resolution. Journal of the Institute of Electronics and Information?Engineers. 2017;54(12):186-94.
Im YJ, Hwang HS, Kim DH, Kim HC. A Study on the Quantitative Evaluation Method of Quality Control using Ultrasound?Phantom in Ultrasound Imaging System based on Artificial?Intelligence. Journal of Biomedical Engineering Research. 2022;43(6):390-8.
Huang G, Liu Z, Van Der Maaten L, Weinberger KQ. Densely?connected convolutional networks. Proceedings of the IEEE?conference on computer vision and pattern recognition. 2017:4700-8.
Tan M, Le Q. Efficientnet: Rethinking model scaling for convolutional neural networks. International conference on machine?learning. 2019:6105-14.
Szegedy C, Ioffe S, Vanhoucke V, Alemi A. Inception-v4,?inception-resnet and the impact of residual connections on?learning. Proceedings of the AAAI conference on artificial?intelligence. 2017;31(1).
He K, Zhang X, Ren S, Sun J. Deep residual learning for image?recognition. Proceedings of the IEEE conference on computer vision and pattern recognition. 2016:770-8.
Chollet F. Xception: Deep learning with depthwise separable?convolutions. Proceedings of the IEEE conference on computer vision and pattern recognition. 2017:1251-8.
Feurer M, Hutter F. Hyperparameter optimization. Automated?machine learning: Methods, systems, challenges. 2019:3-33.
Ruby U, Yendapalli V. Binary cross entropy with deep learning?technique for image classification. Int J Adv Trends Comput?Sci Eng. 2020;9(10).
Marreiros AC, Daunizeau J, Kiebel SJ, Friston KJ. Population dynamics: variance and the sigmoid activation function.?Neuroimage. 2008;42(1):147-57.
Liang J. Confusion Matrix: Machine Learning. POGIL Activity?Clearinghouse. 2022;3(4).
Chida K, Kaga Y, Haga Y, Takeda K, Zuguchi M. Quality?control phantom for flat panel detector X-ray systems. Health?physics. 2013;104(1):97-101.
Vennart W. ICRU Report 54: Medical imaging-the assessment?of image quality-ISBN 0-913394-53-X. April 1996, Maryland, USA. Radiography. 1997;3(3):243-4.
Lee KB, Nam KC, Jang JS, Kim HC. Feasibility of the?Quantitative Assessment Method for CT Quality Control in?Phantom Image Evaluation. Applied Sciences. 2021;11(8):3570.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.