High Resolution Human Skin Image Segmentation by means of Fully Convolutional Neural Networks

被引：0
|
作者：
Calderon-Delgado, Manuel [1 ]
Tjiu, Jeng-Wei [2 ]
Lin, Ming-Yi [2 ]
Huang, Sheng-Lung [1 ]
机构：
[1] Natl Taiwan Univ, Grad Inst Photon & Optoelectrin, Taipei 10617, Taiwan
[2] Natl Taiwan Univ Hosp & Coll Med, Dept Dermatol, Taipei 100, Taiwan
来源：
2018 18TH INTERNATIONAL CONFERENCE ON NUMERICAL SIMULATION OF OPTOELECTRONIC DEVICES (NUSOD 2018) | 2018年
关键词：
optical coherence tomography; machine learning; convolutional neural networks; skin; medical imaging;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
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.
引用
收藏
页码：31 / 32
页数：2
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