https://scholars.lib.ntu.edu.tw/handle/123456789/559189
標題: | Deep Learning Approach for Red Blood Cell Segmentation from Full-Field OCT Data of Human Skin | 作者: | Mekonnen, B.K. Tsai, D.-F. Hsieh, T.-H. Yang, F.-L. Liaw, S.-K. SHENG-LUNG HUANG |
關鍵字: | deep learning; Red blood cells; Segmentation | 公開日期: | 2019 | 來源出版物: | 2019 IEEE International Conference on BioPhotonics, BioPhotonics 2019 | 摘要: | The purpose of this paper is to segment red blood cells from the Full-Field OCT data of human skin, using deep learning technique. Test results show the developed technique is very promising for real time detection and counting of red blood cells. © 2019 IEEE. |
URI: | https://www.scopus.com/inward/record.url?eid=2-s2.0-85075631747&partnerID=40&md5=45bbf5a4ab975f3f52742e3bd3c6174f https://scholars.lib.ntu.edu.tw/handle/123456789/559189 |
DOI: | 10.1109/BioPhotonics.2019.8896748 | SDG/關鍵字: | Blood; Cells; Cytology; Image segmentation; Photonics; Human skin; Learning approach; Learning techniques; Real-time detection; Red blood cell; Deep learning |
顯示於: | 電機工程學系 |
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