High resolution human skin image segmentation by means of fully convolutional neural networks
Journal
Proceedings of the International Conference on Numerical Simulation of Optoelectronic Devices, NUSOD
Journal Volume
2018-November
Pages
31-32
Date Issued
2018
Author(s)
Abstract
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.
Subjects
convolutional neural networks; machine learning; medical imaging; optical coherence tomography; skin
SDGs
Other Subjects
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
Type
conference paper