https://scholars.lib.ntu.edu.tw/handle/123456789/501302
標題: | High resolution human skin image segmentation by means of fully convolutional neural networks | 作者: | Calderon-Delgado, M. Tjiu, J.-W. Lin, M.-Y. Huang, S.-L. SHENG-LUNG HUANG |
關鍵字: | convolutional neural networks; machine learning; medical imaging; optical coherence tomography; skin | 公開日期: | 2018 | 卷: | 2018-November | 起(迄)頁: | 31-32 | 來源出版物: | Proceedings of the International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD | 摘要: | Convolutional neural networks were applied to sub-micron-resolution optical coherence tomography images of the human skin for anatomical segmentation. The main layers of skin were discerned with an average 90% accuracy, which we believe to possess potential in the assessment of skin health. ? 2018 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/501302 | DOI: | 10.1109/NUSOD.2018.8570241 | SDG/關鍵字: | Convolution; Image segmentation; Learning systems; Medical imaging; Neural networks; Numerical models; Optical tomography; Skin; Convolutional neural network; High resolution; Human skin; Sub-micron resolutions; Optoelectronic devices |
顯示於: | 電機工程學系 |
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