Classification of In-vivo Endomicroscopic Images of the Alveolar Respiratory System
Résumé
This paper presents an original system for the automatic classification of normal versus abnormal endomicroscopic images of the respiratory alveolar system. Images from the alveoli were acquired in-vivo using a newly developed technique, based on confocal microscopy. The classification process includes a 120-feature extraction step followed by an SVM based classification. Results are excellent for non-smoker images and demonstrate the great help of this system for computer-aided diagnosis, using confocal microscopy.
Domaines
Imagerie médicale
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