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
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.
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 : jeudi 24 mai 2018 - 15:59:23

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  • HAL Id : lirmm-01379596, version 1

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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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