AN ADAPTIVE TRACKING ALGORITHM OF LUNG TUMORS IN FLUOROSCOPY USING ONLINE LEARNED COLLABORATIVE TRACKERS

Accurate tracking of tumor movement in fluoroscopic video sequences is a clinically significant and challenging problem. This is due to blurred appearance, unclear deforming shape, complicate intra- and inter- fractional motion, and other facts. Current offline tracking approaches are not adequate b...

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Main Authors: Liu, Baiyang, Yang, Lin, Kulikowski, Casimir, Zhou, Jinghao, Gong, Leiguang, Foran, David J., Jabbour, Salma J., Yue, Ning J.
Format: Artigo
Sprog:Inglês
Udgivet: 2010
Fag:
Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2900817/
https://ncbi.nlm.nih.gov/pubmed/20622932
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2010.5490376
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