TY - GEN
T1 - A deep residual networks classification algorithm of fetal heart CT images
AU - Lei, Li
AU - Zhu, Haogang
AU - Gong, Yuxin
AU - Cheng, Qian
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/14
Y1 - 2018/12/14
N2 - This paper proposes a deep residual networks classification algorithm of fetal heart CT images. It is difficult to diagnose Fetal Congenital Heart Disease (FCHD) due to medical CT images of fetal heart has much noisy than general natural scenes images and fetal body position is not fixed. These are great difficulties for medical experts so they cannot give every subject correct diagnosis. The algorithm in this paper exploits deep residual networks to classify the FCHD CT images and may give higher accuracy and precision than medical experts. The residual networks we proposed are based on ResNet34 [1] and a fully connected (FC) layer is added to the last layer of ResNet34 due to the binary classification for negative or positive of FCHD. This residual networks mechanism achieves superior performance than other baseline deep network for binary classification of FCHD.
AB - This paper proposes a deep residual networks classification algorithm of fetal heart CT images. It is difficult to diagnose Fetal Congenital Heart Disease (FCHD) due to medical CT images of fetal heart has much noisy than general natural scenes images and fetal body position is not fixed. These are great difficulties for medical experts so they cannot give every subject correct diagnosis. The algorithm in this paper exploits deep residual networks to classify the FCHD CT images and may give higher accuracy and precision than medical experts. The residual networks we proposed are based on ResNet34 [1] and a fully connected (FC) layer is added to the last layer of ResNet34 due to the binary classification for negative or positive of FCHD. This residual networks mechanism achieves superior performance than other baseline deep network for binary classification of FCHD.
KW - CT images classification
KW - deep residual network
KW - fetal congenital heart disease
UR - https://www.scopus.com/pages/publications/85060734153
U2 - 10.1109/IST.2018.8577179
DO - 10.1109/IST.2018.8577179
M3 - 会议稿件
AN - SCOPUS:85060734153
T3 - IST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
BT - IST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018
Y2 - 16 October 2018 through 18 October 2018
ER -