TY - GEN
T1 - Classification of liver tumors with CEUS based on 3D-CNN
AU - Pan, Fengxin
AU - Huang, Qinghua
AU - Li, Xuelong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Liver cancer has the third highest mortality rate in the world. Effective treatment depends on the accurate identification of benign and malignant tumors. This paper proposed a computer-aided system for distinguishing liver lesions based on CEUS, a widely accepted inspection technique. Video sequences are handled by the 3D convolutional neural network (3D-CNN) to extract spatial and temporal features. Meanwhile, the framework is trained by a specific dataset to yield a classification network. According to the results, our system obtained higher performance than the previous system. The average accuracy rate reached 93.1% with ten-fold cross-validation. It is noteworthy that the system is potential and easy to expand to other applications.
AB - Liver cancer has the third highest mortality rate in the world. Effective treatment depends on the accurate identification of benign and malignant tumors. This paper proposed a computer-aided system for distinguishing liver lesions based on CEUS, a widely accepted inspection technique. Video sequences are handled by the 3D convolutional neural network (3D-CNN) to extract spatial and temporal features. Meanwhile, the framework is trained by a specific dataset to yield a classification network. According to the results, our system obtained higher performance than the previous system. The average accuracy rate reached 93.1% with ten-fold cross-validation. It is noteworthy that the system is potential and easy to expand to other applications.
UR - http://www.scopus.com/inward/record.url?scp=85073240903&partnerID=8YFLogxK
U2 - 10.1109/ICARM.2019.8834190
DO - 10.1109/ICARM.2019.8834190
M3 - 会议稿件
AN - SCOPUS:85073240903
T3 - 2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
SP - 845
EP - 849
BT - 2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
Y2 - 3 July 2019 through 5 July 2019
ER -
