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Gradient Boosted Trees for Corrective Learning

Random forests (RF) have long been a widely popular method in medical image analysis. Meanwhile, the closely related gradient boosted trees (GBT) have not become a mainstream tool in medical imaging despite their attractive performance, perhaps due to their computational cost. In this paper, we leve...

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Bibliografske podrobnosti
izdano v:Mach Learn Med Imaging
Main Authors: Oguz, Baris U., Shinohara, Russell T., Yushkevich, Paul A., Oguz, Ipek
Format: Artigo
Jezik:Inglês
Izdano: 2017
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC6186453/
https://ncbi.nlm.nih.gov/pubmed/30327797
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-67389-9_24
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