@inbook{5780ef65315a4874a60bcac90dafd605,
title = "Fully automatic teeth segmentation in adult OPG images",
abstract = "This work addresses the problem of segmenting teeth in panoramic dental images. Random forest regression voting constrained local models were applied firstly to locate the mandible and the approximate pose of each tooth, and secondly to locate the full outline of each individual tooth. An automatically computed quality-of-fit measure was proposed to identify missing teeth. The system was evaluated using 346 manually annotated images containing adult-stage mandibular teeth. Encouraging results were achieved for detecting missing teeth. The system achieved state-of-the-art performance in locating the outline of present teeth with a median point-to-curve error of 0.2 mm for each of the teeth.",
keywords = "Machine learning, Panoramic dental images, Random forest regression-voting, Teeth segmentation",
author = "Blanco, {Nicol{\'a}s Vila} and Cootes, {Timothy F.} and Claudia Lindner and Carmona, {Inmaculada Tom{\'a}s} and Carreira, {Maria J.}",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-11166-3_2",
language = "English",
isbn = "9783030111656",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "11--21",
editor = "Guoyan Zheng and Toma{\v z} Vrtovec and Jianhua Yao and Pozo, {Jose M.}",
booktitle = "Computational Methods and Clinical Applications in Musculoskeletal Imaging - 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Revised Selected Papers",
address = "United States",
note = "6th International Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging, MSKI 2018 was held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018 ; Conference date: 16-09-2018 Through 20-09-2018",
}