KIEE - The Transactions of the Korean Institute of Electrical Engineers

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M. Cutolo, A. Sulli, V. Smith, 2013, How to perform and interpret capillaroscopy, Best practice & research clinical rheumatology, Vol. 27, No. 2, pp. 237-248

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M. Cutolo, 2015, Atlas of capillaroscopy in rheumatic diseases

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M. Komai, D. Takeno, C. Fujii, J. Nakano, Y. Ohsaki, H. Shirakawa, 2024, Nailfold Capillaroscopy: A Comprehensive Review on Its Usefulness in Both Clinical Diagnosis and Improving Unhealthy Dietary Lifestyles, Nutrients, Vol. 16, No. 12, pp. 1914

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H. Huang, 2020, Unet 3+: A full-scale connected unet for medical image segmentation, pp. 1055-1059

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L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, H. Adam, 2018, Encoder-decoder with atrous separable convolution for semantic image segmentation, pp. 801-818

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D. Jha, 2019, Resunet++: An advanced architecture for medical image segmentation, pp. 225-230

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R. Azad, 2024, Medical Image Segmentation Review: The Success of U-Net, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 46, No. 12, pp. 10076-10095

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J. Bertels, 2019, Optimizing the dice score and jaccard index for medical image segmentation: Theory and practice, pp. 92-100

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K. Choi, 2016, Real-time artificial neural network for high-dimensional medical image, Journal of the Korean Society of Radiology, Vol. 10, No. 8, pp. 637-643

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Y. Deng, 2019, Deep learning on mobile devices: a review, Mobile Multimedia/Image Processing, Security, and Applications 2019, Vol. 10993, pp. 52-66

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T. Zhao, 2022, A survey of deep learning on mobile devices: Applications, optimizations, challenges, and research opportunities, Proceedings of the IEEE, Vol. 110, No. 3, pp. 334-354

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P. Hu, 2020, Real-time semantic segmentation with fast attention, IEEE Robotics and Automation Letters, Vol. 6, No. 1, pp. 263-270

KIEEThe Transactions of
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The Transactions of the Korean Institute of Electrical Engineers

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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers