Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.

OBJECTIVE: The goal of this study is to use adjunctive classes to improve a predictive model whose performance is limited by the common problems of small numbers of primary cases, high feature dimensionality, and poor class separability. Specifically, our clinical task is to use mammographic feature...

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Veröffentlicht in:IEEE Trans Biomed Eng
Hauptverfasser: Hou, Rui, Mazurowski, Maciej A., Grimm, Lars J., Marks, Jeffrey R., King, Lorraine M., Maley, Carlo C., Hwang, E. Shelley, Lo, Joseph Y.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2019
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7757748/
https://ncbi.nlm.nih.gov/pubmed/31502960
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2019.2940195
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