2019 PHOTONICS & ELECTROMAGNETICS RESEARCH SYMPOSIUM - FALL (PIERS - FALL)
ISSN：
1559-9450
年：
2019
页码：
1744-1748
会议名称：
Photonics and Electromagnetics Research Symposium - Fall (PIERS - Fall)
会议论文集名称：
Progress in Electromagnetics Research Symposium
会议时间：
DEC 17-20, 2019
会议地点：
Xiamen, PEOPLES R CHINA
会议主办单位：
[Zhai, Shengqing;Yang, Yusi;Lin, Lan] Tongji Univ, Dept Elect Sci & Technol, Shanghai, Peoples R China.^[Ou, Wenbo] Cent South Univ Forestry & Technol, Dept Automat, Changsha, Peoples R China.
出版地：
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者：
IEEE
ISBN：
978-1-7281-5304-9
基金类别：
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61373106]
机构署名：
本校为其他机构
摘要：
There are many kinds of hepatic lesions which threaten human healthy by high incidence. Analyzing CT images is an effective method to evaluate the type of hepatic lesions. The original evaluation method is that medical personnel assessment by images, but abdominal CT images are complex, and the accuracy of the discrimination depends strongly on the subjective factors, knowledge level and experience of medical personnel. With the development of artificial intelligence technology, the hepatic lesions recognition technology based on deep visual feature learning can achieve a higher accuracy. Whil...
