• Korean Journal of Radiology
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• v.22 no.12
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• pp.2073-2081
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• 2021

Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.495-497
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• 2012

Development of application risk management for medical device software test. First, Through questionnaires, Medical device manufacturers, Analysis of software validation and risk management status. Second, Analyzed by comparing the difference between black box testing and white box testing. Third, After analyzing the potential for software analysis tools using code derived factors were quantified, Finally, Medical device risk management process so that it can be applied to build the framework by FMEA(Failure Mode and Effect Analysis) technique. Through this Difficult to build software validation and risk management processes for manufacturers to take advantage of support in medical device GMP(Good Manufacture Practice).

• Journal of the korean veterinary medical association
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• v.14 no.3
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• pp.161-168
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• 1978

• Journal of the korean veterinary medical association
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• v.40 no.8
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• pp.696-707
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• 2004

• Journal of the korean veterinary medical association
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• v.15 no.9_10
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• pp.511-521
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• 1979

• Journal of the korean veterinary medical association
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• v.15 no.9_10
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• pp.523-529
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• 1979

• The Journal of the Korean life insurance medical association
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• v.7 no.1
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• pp.7-16
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• 1988

• Journal of the korean veterinary medical association
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• v.40 no.11
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• pp.1013-1028
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• 2004

• Polymer Science and Technology
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• v.5 no.2
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• pp.101-106
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• 1994

• International Journal of Internet, Broadcasting and Communication
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• v.7 no.2
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• pp.84-89
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• 2015

About 30% of Mongolian population is populated in the capital of the nation. Too many hospitals are concentrated in size as compared to the capital. This creates a difficult environment to provide equal distribution of medical benefit. In order to resolve this issue of medical benefit inequality, a portable/travelling medical treatment system using 'M-LIMS' is proposed for real-life application. The system with M-LIMS to be designed will include functions such as composing, sharing charts among doctors, standardizing charts. M-LIMS will be designed considering Mongol's regional characteristics, and application plans will be proposed accordingly.