Semi-supervised learning approaches for predicting semantic characteristics of lung nodules

Dmitry Zinovev; Ekarin Varutbangkul; Daniela S. Raicu; Jacob D. Furst; Samuel G. Armato

doi:10.3233/IDT-2009-0056

Semi-supervised learning approaches for predicting semantic characteristics of lung nodules

Dmitry Zinovev
, Ekarin Varutbangkul
, Daniela S. Raicu
, Jacob D. Furst
, Samuel G. Armato

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	207-217
Number of pages	11
Journal	Intelligent Decision Technologies
Volume	3
Issue number	4
DOIs	https://doi.org/10.3233/IDT-2009-0056
State	Published - 2009

ASJC Scopus Subject Areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.3233/IDT-2009-0056

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title = "Semi-supervised learning approaches for predicting semantic characteristics of lung nodules",

author = "Dmitry Zinovev and Ekarin Varutbangkul and Raicu, \{Daniela S.\} and Furst, \{Jacob D.\} and Armato, \{Samuel G.\}",

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doi = "10.3233/IDT-2009-0056",

language = "English",

volume = "3",

pages = "207--217",

journal = "Intelligent Decision Technologies",

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T1 - Semi-supervised learning approaches for predicting semantic characteristics of lung nodules

AU - Zinovev, Dmitry

AU - Varutbangkul, Ekarin

AU - Raicu, Daniela S.

AU - Furst, Jacob D.

AU - Armato, Samuel G.

PY - 2009

Y1 - 2009

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DO - 10.3233/IDT-2009-0056

M3 - Article

AN - SCOPUS:85013610369

SN - 1872-4981

VL - 3

SP - 207

EP - 217

JO - Intelligent Decision Technologies

JF - Intelligent Decision Technologies

IS - 4

ER -

Semi-supervised learning approaches for predicting semantic characteristics of lung nodules

ASJC Scopus Subject Areas

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