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Authors: M. E. Fantacci 1 ; S. Bagnasco 2 ; N. Camarlinghi 3 ; E. Fiorina 4 ; E. Lopez Torres 5 ; F. Pennanzio 4 ; c. Peroni 4 ; A. Retico 3 ; M. Saletta 2 ; C. Sottocornola 1 ; A. Traverso 6 and P. Cerello 2

Affiliations: 1 Pisa University and Pisa Section of INFN, Italy ; 2 Torino Section of INFN, Italy ; 3 Pisa Section of INFN, Italy ; 4 Torino Section of INFN and Torino University, Italy ; 5 Torino Section of INFN and CEADEN, Italy ; 6 Torino Section of INFN and Politecnico di Torino, Italy

ISBN: 978-989-758-070-3

Keyword(s): Computer Aided Detection, Lung Nodules, Thoracic Computed Tomography.

Related Ontology Subjects/Areas/Topics: Bioinformatics ; Biomedical Engineering ; Image Analysis ; Pattern Recognition, Clustering and Classification

Abstract: M5L, a Web-based fully automated Computer-Aided Detection (CAD) system for the automated detection of lung nodules in thoracic Computed Tomography (CT), is based on a multi-thread analysis with two independent CAD subsystems, the lung Channeler Ant Model (lungCAM) and the Voxel-Based Neural Analysis (VBNA), and on the combination of their results. The lungCAM subsystem is based on a model of the capabilities that ants show in nature in finding structures, defining shapes and acting according with local information. The VBNA subsystem is based on a multi-scale filter for spherical structures in searching internal nodules and on the analysis of the intersections of surface normals in searching pleural nodules. The M5L performance, extensively validated on 1043 CT scans from 3 independent datasets, including the full LIDC/IDRI database, is homogeneous across the databases: the sensitivity is about 0.8 at 6-8 False Positive findings per scan, despite the different annotation criteria and acquisition and reconstruction conditions. A prototype service based on M5L is hosted on a server operated by INFN in Torino. Preliminary validation tests of the system have recently started in several Italian radiological institutes. (More)

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Paper citation in several formats:
Fantacci, M.; Bagnasco, S.; Camarlinghi, N.; Fiorina, E.; Lopez Torres , E.; Pennanzio, F.; Peroni, c.; Retico, A.; Saletta, M.; Sottocornola, C.; Traverso, A. and Cerello, P. (2015). A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans.In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2015) ISBN 978-989-758-070-3, pages 213-218. DOI: 10.5220/0005280102130218

@conference{bioinformatics15,
author={Fantacci, M. and S. Bagnasco. and N. Camarlinghi. and E. Fiorina. and E. Lopez Torres . and F. Pennanzio. and c. Peroni. and A. Retico. and M. Saletta. and C. Sottocornola. and A. Traverso. and P. Cerello.},
title={A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2015)},
year={2015},
pages={213-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005280102130218},
isbn={978-989-758-070-3},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2015)
TI - A Web-based Computer Aided Detection System for Automated Search of Lung Nodules in Thoracic Computed Tomography Scans
SN - 978-989-758-070-3
AU - Fantacci, M.
AU - Bagnasco, S.
AU - Camarlinghi, N.
AU - Fiorina, E.
AU - Lopez Torres , E.
AU - Pennanzio, F.
AU - Peroni, c.
AU - Retico, A.
AU - Saletta, M.
AU - Sottocornola, C.
AU - Traverso, A.
AU - Cerello, P.
PY - 2015
SP - 213
EP - 218
DO - 10.5220/0005280102130218

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