@inproceedings{19d9c92c227b4bdea24b1f732b117031,
title = "Dental classification for periapical radiograph based on multiple fuzzy attribute",
abstract = "Dental classification for periapical radiograph based on multiple fuzzy attribute is proposed, where each tooth is analyzed based on multiple criteria such as area/perimeter ratio and width/height ratio. A classification method on special type of dental image called periapical radiograph is studied and classification is done without speculative classification (in case of ambiguous object), therefore an accurate and assistive result can be obtained due to its capability to handle ambiguous tooth. Experiment results on 78 periapical dental radiographs from University of Indonesia indicates 82.51\% total classification accuracy and 84.29\% average classification rate per input radiograph. The proposed classification method is planned to be implemented as a submodule for an under developing dental based personal identification system.",
keywords = "dental classification, feature extraction, fuzzy inference, integral projection, personal identification",
author = "Tangel, \{Martin L.\} and Chastine Fatichah and Fei Yan and Betancourt, \{Janet P.\} and Widyanto, \{M. Rahmat\} and Fangyan Dong and Kaoru Hirota",
year = "2013",
doi = "10.1109/IFSA-NAFIPS.2013.6608417",
language = "English",
isbn = "9781479903474",
series = "Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013",
pages = "304--309",
booktitle = "Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013",
note = "9th Joint World Congress on Fuzzy Systems and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 ; Conference date: 24-06-2013 Through 28-06-2013",
}