Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection

Chufan Gao; Stephen Clark; Jacob Furst; Daniela Raicu

doi:10.1117/12.2513011

Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection

Chufan Gao
, Stephen Clark
, Jacob Furst
, Daniela Raicu

Purdue University
University of Tennessee at Chattanooga
DePaul University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Medical Imaging 2019
Subtitle of host publication	Computer-Aided Diagnosis
Editors	Kensaku Mori, Horst K. Hahn
Publisher	SPIE
ISBN (Electronic)	9781510625471
DOIs	https://doi.org/10.1117/12.2513011
State	Published - 2019
Event	Medical Imaging 2019: Computer-Aided Diagnosis - San Diego, United States Duration: Feb 17 2019 → Feb 20 2019

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10950
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2019: Computer-Aided Diagnosis
Country/Territory	United States
City	San Diego
Period	2/17/19 → 2/20/19

ASJC Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Biomaterials
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2513011

Cite this

Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. / Gao, Chufan; Clark, Stephen; Furst, Jacob et al.
Medical Imaging 2019: Computer-Aided Diagnosis. ed. / Kensaku Mori; Horst K. Hahn. SPIE, 2019. 109501K (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10950).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gao, C, Clark, S, Furst, J & Raicu, D 2019, Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection. in K Mori & HK Hahn (eds), Medical Imaging 2019: Computer-Aided Diagnosis., 109501K, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10950, SPIE, Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, United States, 2/17/19. https://doi.org/10.1117/12.2513011

@inproceedings{08daafe3f638456ebb77fd69e4f989ee,

title = "Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection",

author = "Chufan Gao and Stephen Clark and Jacob Furst and Daniela Raicu",

note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Medical Imaging 2019: Computer-Aided Diagnosis ; Conference date: 17-02-2019 Through 20-02-2019",

year = "2019",

doi = "10.1117/12.2513011",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Kensaku Mori and Hahn, \{Horst K.\}",

booktitle = "Medical Imaging 2019",

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TY - GEN

T1 - Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection

AU - Gao, Chufan

AU - Clark, Stephen

AU - Furst, Jacob

AU - Raicu, Daniela

PY - 2019

Y1 - 2019

UR - https://www.scopus.com/pages/publications/85068146850

UR - https://www.scopus.com/pages/publications/85068146850#tab=citedBy

U2 - 10.1117/12.2513011

DO - 10.1117/12.2513011

M3 - Conference contribution

AN - SCOPUS:85068146850

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2019

A2 - Mori, Kensaku

A2 - Hahn, Horst K.

PB - SPIE

T2 - Medical Imaging 2019: Computer-Aided Diagnosis

Y2 - 17 February 2019 through 20 February 2019

ER -

Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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Cite this