Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study

被引：217

作者：

van Ginneken, Bram ^{[1
,2
]}

Armato, Samuel G., III ^{[3
]}

de Hoop, Bartjan ^{[4
]}

van Amelsvoort-van de Vorst, Saskia ^{[4
]}

Duindam, Thomas ^{[1
]}

Niemeijer, Meindert ^{[1
]}

Murphy, Keelin ^{[1
]}

Schilham, Arnold ^{[1
]}

Retico, Alessandra ^{[5
]}

Fantacci, Maria Evelina ^{[5
,6
]}

Camarlinghi, Niccolo ^{[5
,6
]}

Bagagli, Francesco ^{[5
,6
]}

Gori, Ilaria ^{[5
,7
]}

Hara, Takeshi ^{[8
]}

Fujita, Hiroshi ^{[8
]}

Gargano, Gianfranco ^{[9
,10
]}

Bellotti, Roberto ^{[9
,10
]}

Tangaro, Sabina ^{[10
]}

Bolanos, Lourdes ^{[11
]}

De Carlo, Francesco ^{[10
]}

Cerello, Piergiorgio ^{[11
]}

Cheran, Sorin Cristian ^{[11
]}

Lopez Torres, Ernesto

Prokop, Mathias ^{[2
,4
]}

机构：

[1] Univ Med Ctr Utrecht, Image Sci Inst, NL-3584 CX Utrecht, Netherlands

[2] Radboud Univ Nijmegen, Med Ctr, Dept Radiol, Nijmegen, Netherlands

[3] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA

[4] Univ Med Ctr Utrecht, Dept Radiol, NL-3584 CX Utrecht, Netherlands

[5] Ist Nazl Fis Nucl, Sez Pisa, Pisa, Italy

[6] Univ Pisa, Dipartimento Fis, Pisa, Italy

[7] Bracco Imaging SpA, Milan, Italy

[8] Gifu Univ, Dept Intelligent Image Informat, Grad Sch Med, Gifu, Japan

[9] Univ Bari, Dipartimento Interateneo M Merlin, I-70121 Bari, Italy

[10] Ist Nazl Fis Nucl, Sez Bari, Bari, Italy

[11] Ist Nazl Fis Nucl, Sez Torino, Turin, Italy

来源：

MEDICAL IMAGE ANALYSIS | 2010年 / 14卷 / 06期

关键词：

Computer-aided detection; Computed tomography; Lung nodules; Lung cancer; SELECTIVE ENHANCEMENT FILTERS; MAXIMUM-INTENSITY-PROJECTION; IMAGE-DATABASE-CONSORTIUM; THIN-SECTION CT; LUNG NODULES; AUTOMATED DETECTION; CAD-SYSTEM; CHEST CT; CANCER; SEGMENTATION;

D O I：

10.1016/j.media.2010.05.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Numerous publications and commercial systems are available that deal with automatic detection of pulmonary nodules in thoracic computed tomography scans, but a comparative study where many systems are applied to the same data set has not yet been performed. This paper introduces ANODE09 (http://anode09.isi.uu.nl), a database of 55 scans from a lung cancer screening program and a web-based framework for objective evaluation of nodule detection algorithms. Any team can upload results to facilitate benchmarking. The performance of six algorithms for which results are available are compared; five from academic groups and one commercially available system. A method to combine the output of multiple systems is proposed. Results show a substantial performance difference between algorithms, and demonstrate that combining the output of algorithms leads to marked performance improvements. (c) 2010 Elsevier B.V. All rights reserved.

引用

页码：707 / 722

页数：16

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