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A similarity study of content-based image retrieval system for breast cancer using decision tree

Purpose: We are developing a decision tree content-based image retrieval (DTCBIR) CADx system to assist radiologists in characterization of breast masses on ultrasound images. Methods: Three DTCBIR configurations, including decision tree with boosting (DTb), decision tree with full leaf features (DT...

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מידע ביבליוגרפי
Main Authors: Cho, Hyun-chong, Hadjiiski, Lubomir, Sahiner, Berkman, Chan, Heang-Ping, Helvie, Mark, Paramagul, Chintana, Nees, Alexis V.
פורמט: Artigo
שפה:Inglês
יצא לאור: American Association of Physicists in Medicine 2013
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC3537763/
https://ncbi.nlm.nih.gov/pubmed/23298117
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4770277
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