• Journal of Dental Rehabilitation and Applied Science
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• v.36 no.4
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• pp.203-210
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• 2020

By facing the era of the 4th industrial revolution, personalized medical services for patients are expanding with the development of information and communications technology. With these changes, digital medical devices have begun to be used to support diagnosis, patient monitoring, and decision-making of diseases, and recently software medical devices for the purpose of preventing, managing, or treating disorders or diseases have become popular. The aim of this article is to understand the current concept and status of Software as a Medical Device (SaMD), which are actively being carried out in the United States, and to find out what fields can be applied in the future. In addition, it intends to find out the Korean domestic policy trends related to smart healthcare and find out the application of digital software as a medical devices that can be used in dental clinic to keep pace with the upcoming changes in the medical field.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.39 no.4
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• pp.197-199
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• 2013

Three-dimensional (3D) computed tomography image models are helpful in reproducing the maxillofacial area; however, they do not necessarily provide an accurate representation of dental occlusion and the state of the teeth. Recent efforts have focused on improvement of dental imaging by replacement of computed tomography with other detailed digital images. Unfortunately, despite the advantages of medical simulation software in dentofacial analysis, diagnosis, and surgical simulation, it lacks adequate registration tools. Following up on our previous report on orthognathic simulation surgery using computer-aided design/computer-aided manufacturing (CAD/CAM) software, we recently used the registration functions of a CAD/CAM platform in conjunction with surgical simulation software. Therefore, we would like to introduce a new technique, which involves use of the registration functions of CAD/CAM software followed by transfer of the images into medical simulation software. This technique may be applicable when using various registration function tools from different software platforms.

• Journal of Digital Contents Society
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• v.15 no.1
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• pp.11-18
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• 2014

The strength of our country is based on high-speed networks to build a nationwide health information network to improve the quality of health care is needed. However, nature of the medical services in the hospital medical record form, so that all departments characterize each medical department, a common format that can be used for all disease is a very difficult challenge. This study is one of the ways to improve this priority issue on health information sharing medical information system(PACS/HIS) information linkage between the problem of information, compatibility and security issues derived. The problem is derived from the requirements of theorem 3 to 6 items. This is effective in order to improve sharing of medical information for the purpose of designing the software system. Sharing of medical information software system design are derived from stakeholders, requirements analysis, architecture design, software framework, configuration, architecture evaluation process. This study is based on the medical information standardization environmental diagnosis of a medical information system design. Software design philosophy is based on a new framework for deriving the function and mechanism made up.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.758-767
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• 2007

Today, medical devices is making great progress in type of the electronic medical device controlled by embedded software. So, the quality of electronic medical devices is dependant on the quality of embedded medical software. Especially, considering that medical devices closely connected to human life, we think the study about reliability of medical devices will be needed in the quality of programmable electronic medical devices. In this thesis, we constructed the reliability evaluation method based on ISO/IEC 9126 and ISO/IEC 12119, and developed the system that can applicate FMEA method, the one of the reliability evaluation method.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.6
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• pp.267-275
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• 2023

This paper presents the development of specialized software for annotating volume-of-interest on ¹⁸F-FDG PET/CT images with the goal of facilitating the studies and diagnosis of head and neck cancer (HNC). To achieve an efficient annotation process, we employed the SE-Norm-Residual Layer-based U-Net model. This model exhibited outstanding proficiency to segment cancerous regions within ¹⁸F-FDG PET/CT scans of HNC cases. Manual annotation function was also integrated, allowing researchers and clinicians to validate and refine annotations based on dataset characteristics. Workspace has a display with fusion of both PET and CT images, providing enhance user convenience through simultaneous visualization. The performance of deeplearning model was validated using a Hecktor 2021 dataset, and subsequently developed semi-automatic annotation functionalities. We began by performing image preprocessing including resampling, normalization, and co-registration, followed by an evaluation of the deep learning model performance. This model was integrated into the software, serving as an initial automatic segmentation step. Users can manually refine pre-segmented regions to correct false positives and false negatives. Annotation images are subsequently saved along with their corresponding ¹⁸F-FDG PET/CT fusion images, enabling their application across various domains. In this study, we developed a semi-automatic annotation software designed for efficiently generating annotated lesion images, with applications in HNC research and diagnosis. The findings indicated that this software surpasses conventional tools, particularly in the context of HNC-specific annotation with ¹⁸F-FDG PET/CT data. Consequently, developed software offers a robust solution for producing annotated datasets, driving advances in the studies and diagnosis of HNC.

• Journal of Biomedical Engineering Research
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• v.32 no.4
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• pp.279-284
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• 2011

Biomedical engineering is a discipline where engineering principles and techniques are applied to the medical field. Biomedical engineering lies between traditional engineering and medicine and is an inter-disciplinary field in its nature. Current Korean undergraduate biomedical engineering curriculum is a simple list of traditional engineering courses combined with basic medical/life science courses. There have been efforts to improve biomedical engineering education to reflect its inter-disciplinary nature. Enhanced software course for biomedical engineering is proposed as a part of effort to overhaul the undergraduate biomedical engineering curriculum. In this newly proposed course, students will learn MATLAB and LabVIEW, which are the most widely used software tools in biomedical engineering.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.571-574
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• 2006

2006년 5월 국제전기기술위원회(International Electrotechnical Commission, IEC) TC62(의료용전기기기기술위원회) SC62A(의료용전기기기 공통특성에 관한 세부분과위원회)에서 의료기기 소프트웨어의 생명주기 프로세스에 관한 국제규격인 IEC 62304, Ed.1을 제정하였다. 전체 내용은 크게 일반적인 요구사항(General requirements)과 소프트웨어 개발과 유지보수에 대한 프로세스(Software development & maintenance process)로 구성되어 있다. 그리고 소프트웨어 개발과 유지보수 프로세스가 진행되는 동안에 기본적으로 확보되어야 하는 소프트웨어 위험관리와 형상관리에 대한 프로세스 Software risk management & configuration management process)를 규정하고, 또한 문제 발생 시 이를 해결하기 위한 소프트웨어 문제 해결 프로세스(Software problem resolution process)를 규정하고 있다. 이는 기존의 정보통신 분야에서 사용되던 소프트웨어 생명주기 프로세스인 ISO/IEC 12207 규격과 외형상 많은 차이를 나타내고 있다. 이에 본 논문에서는 의료기기 소프트웨어의 생명주기 프로세스에 관한 국제규격인 IEC 652304를 분석하여 실제 의료용 소프트웨어 개발 및 유지보수 작업들이 어떠한 방식으로 이루어지는지를 분석하고, 또한 기존의 소프트웨어 생명주기 프로세스인 ISO/IEC 12207 규격과의 차이점을 비교 분석하여 본 규격에 대한 근본적인 활용 방안을 모색하고자 한다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.41-48
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• 2014

This paper provides the design of system software for the management of radiation dose that is generated by using computerized tomography(CT). Recently, the radiation leakage incident of Japanese nuclear power plant was in the news internationally and there is a growing interest not only in nuclear power plant but in medical radiation exposure. In spite of the fact that currently safety management of radiation is under control only the workers of the radiation involved, now the exposure management of patients have been required. As surgery and inspections using the radiation have increased, this medical radiation exposure is increasing too. But it is a real situation that medical institutions don't know the level of radiation exposure applied to the patient. Therefore, a system for managing the radiation exposure of a patient from the medical institution is required. This paper proposes a design of a software program that manages the radiation exposure of CT which is a typical imaging tool to use the radiation in the medical institution. By check the amount of radiation dose and set the limit of dose, we would be of help to optimize the medical exposure of the patient.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.38-40
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• 2021

Medical domain has a massive number of data records without the response value. Self-supervised learning is a suitable method for medical data since it learns pretext-task and supervision, which the model can understand the semantic representation of data without response values. However, since self-supervised learning performance depends on the expression learned by the pretext-task, it is necessary to define an appropriate Pretext-task with data feature consideration. In this paper, to actively exploit the unlabeled medical data into artificial intelligence research, experimentally find pretext-tasks that suitable for the medical data and analyze the result. We use the x-ray image dataset which is effectively utilizable for the medical domain.

• Proceedings of the Korean Society of Medical Physics Conference
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• 1999.11a
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• pp.312-315
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• 1999

To improve quality and reliability of a multi-institutuonal radiation oncology database and to enhance the results of radiotherapy, we developed software which can generate another software automatically for converting an existed database to an integrated multi-institutional database ROGAD [Radiation Oncology Greater Area Database].