Assessment of an automatic system classifying hepatic lesions on multi-phase computer tomography images

Auréline Quatrehomme 1 Ingrid Millet 2 Denis Hoa 1 Gérard Subsol 3 William Puech 3
1 IMAIOS
2 UGA UFRM - Université Grenoble Alpes - UFR Médecine
3 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper, we propose to assess the results obtained by our automatic system for classifying hepatic lesions. Our database contains 107 multi-phase liver nodules from 7 different diagnosis types. As multi-phase scans are not commonly found in Computer Aided Diagnosis systems, an analysis of the potential improvement introduced by working on multiphase versus single portal phase CT acquisitions is made, as well as the comparison of our tool classification results to the ones obtained by two radiologists. Experimental results led to the validation of the method.
Keywords : computer aided analysis computerised tomography image classification medical image processing radiology automatic assessment system computer aided diagnosis system hepatic lesion classification multiphase computer tomography image classification multiphase liver nodule diagnosis radiologist single portal phase CT acquisition Computed tomography Databases Lesions Liver Metastasis Portals Visualization Classification Computer Aided Diagnosis Expert validation Liver focal lesions Medical Imaging Multi-Phase Computer Tomography
Type de document :
Communication dans un congrès
EUSIPCO: European Signal Processing Conference, Sep 2013, Marrakech, Morocco. 21st European Signal Processing Conference, pp.1-5, 2013, 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6811538&isnumber=6811387〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01379596
Contributeur : William Puech <>
Soumis le : mardi 11 octobre 2016 - 17:22:49
Dernière modification le : vendredi 28 septembre 2018 - 18:54:51

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Auréline Quatrehomme, Ingrid Millet, Denis Hoa, Gérard Subsol, William Puech. Assessment of an automatic system classifying hepatic lesions on multi-phase computer tomography images. EUSIPCO: European Signal Processing Conference, Sep 2013, Marrakech, Morocco. 21st European Signal Processing Conference, pp.1-5, 2013, 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6811538&isnumber=6811387〉. 〈lirmm-01379596〉

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