Evaluation of computer-aided detection performance using mathematically simulated lung nodules

Philippe Raffy; Catalin Fetita; Catherine Beigelman; Françoise Prêteux; Susan Wood; Philippe Grenier

doi:10.1016/j.ics.2004.03.316

Evaluation of computer-aided detection performance using mathematically simulated lung nodules

Philippe Raffy
, Catalin Fetita
, Catherine Beigelman
, Françoise Prêteux
, Susan Wood
, Philippe Grenier

Department of Clinical Studies Algorithm Development
R2 Technology Inc.
CNRS SAMOVAR UMR 5157
AP-HP

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

1 Citation (Scopus)

Abstract

The goal of this paper is to assess the performance of a Computer-Aided Detection (CAD) system for lung nodule detection in MDCT examinations of the chest (ImageChecker CT™, R2 Technology), using an objective reference database of computer-generated nodules that mimic the range of nodule characteristics typically found in the chest.

Original language	English
Pages (from-to)	935-940
Number of pages	6
Journal	International Congress Series
Volume	1268
Issue number	C
DOIs	https://doi.org/10.1016/j.ics.2004.03.316
Publication status	Published - 1 Jun 2004
Externally published	Yes

Keywords

Computer-aided detection
Lung nodule
Mathematical simulation
Volume quantification

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10.1016/j.ics.2004.03.316

Cite this

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title = "Evaluation of computer-aided detection performance using mathematically simulated lung nodules",

abstract = "The goal of this paper is to assess the performance of a Computer-Aided Detection (CAD) system for lung nodule detection in MDCT examinations of the chest (ImageChecker CT{\texttrademark}, R2 Technology), using an objective reference database of computer-generated nodules that mimic the range of nodule characteristics typically found in the chest.",

keywords = "Computer-aided detection, Lung nodule, Mathematical simulation, Volume quantification",

author = "Philippe Raffy and Catalin Fetita and Catherine Beigelman and Fran{\c c}oise Pr{\^e}teux and Susan Wood and Philippe Grenier",

year = "2004",

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doi = "10.1016/j.ics.2004.03.316",

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AU - Fetita, Catalin

AU - Beigelman, Catherine

AU - Prêteux, Françoise

AU - Wood, Susan

AU - Grenier, Philippe

PY - 2004/6/1

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AB - The goal of this paper is to assess the performance of a Computer-Aided Detection (CAD) system for lung nodule detection in MDCT examinations of the chest (ImageChecker CT™, R2 Technology), using an objective reference database of computer-generated nodules that mimic the range of nodule characteristics typically found in the chest.

KW - Computer-aided detection

KW - Lung nodule

KW - Mathematical simulation

KW - Volume quantification

U2 - 10.1016/j.ics.2004.03.316

DO - 10.1016/j.ics.2004.03.316

M3 - Article

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SN - 0531-5131

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SP - 935

EP - 940

JO - International Congress Series

JF - International Congress Series

IS - C

ER -

Evaluation of computer-aided detection performance using mathematically simulated lung nodules

Abstract

Keywords

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