Special Section Guest Editorial: LUNGx Challenge for computerized lung nodule classification: Reflections and lessons learned

Samuel G. Armato; Lubomir Hadjiiski; Georgia D. Tourassi; Karen Drukker; Maryellen L. Giger; Feng Li; George Redmond; Keyvan Farahani; Justin S. Kirby; Laurence P. Clarke

doi:10.1117/1.JMI.2.2.020103

Special Section Guest Editorial: LUNGx Challenge for computerized lung nodule classification: Reflections and lessons learned

Samuel G. Armato
, Lubomir Hadjiiski
, Georgia D. Tourassi
, Karen Drukker
, Maryellen L. Giger
, Feng Li
, George Redmond
, Keyvan Farahani
, Justin S. Kirby
, Laurence P. Clarke

Computational Sciences & Engineering Div

Research output: Contribution to journal › Review article › peer-review

62 Scopus citations

Original language	English
Article number	20103
Journal	Journal of Medical Imaging
Volume	2
Issue number	2
DOIs	https://doi.org/10.1117/1.JMI.2.2.020103
State	Published - Apr 1 2015

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10.1117/1.JMI.2.2.020103

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title = "Special Section Guest Editorial: LUNGx Challenge for computerized lung nodule classification: Reflections and lessons learned",

author = "Armato, \{Samuel G.\} and Lubomir Hadjiiski and Tourassi, \{Georgia D.\} and Karen Drukker and Giger, \{Maryellen L.\} and Feng Li and George Redmond and Keyvan Farahani and Kirby, \{Justin S.\} and Clarke, \{Laurence P.\}",

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language = "English",

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T1 - Special Section Guest Editorial

T2 - LUNGx Challenge for computerized lung nodule classification: Reflections and lessons learned

AU - Armato, Samuel G.

AU - Hadjiiski, Lubomir

AU - Tourassi, Georgia D.

AU - Drukker, Karen

AU - Giger, Maryellen L.

AU - Li, Feng

AU - Redmond, George

AU - Farahani, Keyvan

AU - Kirby, Justin S.

AU - Clarke, Laurence P.

PY - 2015/4/1

Y1 - 2015/4/1

UR - https://www.scopus.com/pages/publications/85016148287

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DO - 10.1117/1.JMI.2.2.020103

M3 - Review article

AN - SCOPUS:85016148287

SN - 2329-4302

VL - 2

JO - Journal of Medical Imaging

JF - Journal of Medical Imaging

IS - 2

M1 - 20103

ER -

Special Section Guest Editorial: LUNGx Challenge for computerized lung nodule classification: Reflections and lessons learned

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