Deep Learning Approach for Red Blood Cell Segmentation from Full-Field OCT Data of Human Skin
Journal
2019 IEEE International Conference on BioPhotonics, BioPhotonics 2019
Date Issued
2019
Author(s)
Abstract
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.
Subjects
deep learning; Red blood cells; Segmentation
Other Subjects
Blood; Cells; Cytology; Image segmentation; Photonics; Human skin; Learning approach; Learning techniques; Real-time detection; Red blood cell; Deep learning
Type
conference paper