Hui Li, Hanhu Wang, Mei Chen, Teng Wang, Xuejian Wang. SeCED-FS: A New Approach for the Classification and Discovery of Significant Regions in Medical Images. In Guozhu Dong, Xuemin Lin, Wei Wang 0011, Yun Yang, Jeffrey Xu Yu, editors, Advances in Data and Web Management, Joint 9th Asia-Pacific Web Conference, APWeb 2007, and 8th International Conference, on Web-Age Information Management, WAIM 2007, Huang Shan, China, June 16-18, 2007, Proceedings. Volume 4505 of Lecture Notes in Computer Science, pages 650-657, Springer, 2007. [doi]
@inproceedings{LiWCWW07,
title = {SeCED-FS: A New Approach for the Classification and Discovery of Significant Regions in Medical Images},
author = {Hui Li and Hanhu Wang and Mei Chen and Teng Wang and Xuejian Wang},
year = {2007},
doi = {10.1007/978-3-540-72524-4_67},
url = {http://dx.doi.org/10.1007/978-3-540-72524-4_67},
tags = {discovery, classification, systematic-approach},
researchr = {https://researchr.org/publication/LiWCWW07},
cites = {0},
citedby = {0},
pages = {650-657},
booktitle = {Advances in Data and Web Management, Joint 9th Asia-Pacific Web Conference, APWeb 2007, and 8th International Conference, on Web-Age Information Management, WAIM 2007, Huang Shan, China, June 16-18, 2007, Proceedings},
editor = {Guozhu Dong and Xuemin Lin and Wei Wang 0011 and Yun Yang and Jeffrey Xu Yu},
volume = {4505},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-540-72483-4},
}