TY - GEN
T1 - Automatic Counting System of Red Blood Cells Based on Fourier Ptychographic Microscopy
AU - Wang, Shushan
AU - Xu, Tingfa
AU - Zhang, Jizhou
AU - Wang, Xin
AU - Chen, Yiwen
AU - Zhang, Jinhua
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - Red blood cell (RBC) counting is of great medical significance in clinical examination. Commonly, the cell counting task is completed by microscopic examination, which requires a high resolution. This paper proposes an automatic counting system of red blood cells based on Fourier ptychographic microscopy (FPM) and estimates the RBC number via a convolutional neural network (CNN). The counting network is based on a regression model, using a VGG-16 network combined with a feature pyramid network (FPN). The experimental results show that the mean absolute percentage error (MAPE) of our counting network can reach 0.86%, which means a high accuracy.
AB - Red blood cell (RBC) counting is of great medical significance in clinical examination. Commonly, the cell counting task is completed by microscopic examination, which requires a high resolution. This paper proposes an automatic counting system of red blood cells based on Fourier ptychographic microscopy (FPM) and estimates the RBC number via a convolutional neural network (CNN). The counting network is based on a regression model, using a VGG-16 network combined with a feature pyramid network (FPN). The experimental results show that the mean absolute percentage error (MAPE) of our counting network can reach 0.86%, which means a high accuracy.
KW - Convolutional neural networks
KW - Feature pyramid network
KW - Fourier ptychographic microscopy
KW - Red blood cell counting
UR - http://www.scopus.com/inward/record.url?scp=85111397695&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-8411-4_119
DO - 10.1007/978-981-15-8411-4_119
M3 - Conference contribution
AN - SCOPUS:85111397695
SN - 9789811584107
T3 - Lecture Notes in Electrical Engineering
SP - 891
EP - 898
BT - Communications, Signal Processing, and Systems - Proceedings of the 9th International Conference on Communications, Signal Processing, and Systems
A2 - Liang, Qilian
A2 - Wang, Wei
A2 - Liu, Xin
A2 - Na, Zhenyu
A2 - Li, Xiaoxia
A2 - Zhang, Baoju
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th International Conference on Communications, Signal Processing, and Systems, CSPS 2020
Y2 - 4 July 2020 through 5 July 2020
ER -