Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and t-SNE

Purpose: In this preliminary study, recently developed unsupervised nonlinear dimension reduction (DR) and data representation techniques were applied to computer-extracted breast lesion feature spaces across three separate imaging modalities: Ultrasound (U.S.) with 1126 cases, dynamic contrast enha...

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Bibliografiske detaljer
Main Authors: Jamieson, Andrew R., Giger, Maryellen L., Drukker, Karen, Li, Hui, Yuan, Yading, Bhooshan, Neha
Format: Artigo
Sprog:Inglês
Udgivet: American Association of Physicists in Medicine 2010
Fag:
Radiation Imaging Physics
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2807447/
https://ncbi.nlm.nih.gov/pubmed/20175497
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3267037
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