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Communication Dans Un Congrès Année : 2013

Towards real-time in situ polyp detection in WCE images using a boosting-based approach

Juan Silva
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ICI
Aymeric Histace
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ICI
Olivier Romain
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Xavier Dray
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  • PersonId : 934208
Bertrand Granado
Andrea Pinna
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  • PersonId : 934207

Résumé

This paper presents a new embeddable method for polyp detections in Wireless Capsule Endoscopic - WCE images. this approach con- sists first of extracting candidate polyps within the image using geo- metric considerations about related shape, and second, in classifying (polyp/non-polyp) obtained candidates by a boosting-based method using texture features. The proposed approach has been designed in accordance with the hardware constraints related to FPGA imple- mentation for integration within WCE imaging device. The classification performance of the method have been evaluated on a large dataset of 300 polyps, and 1200 non-polyps images. Experiments show interesting and promising performance: the boosting-based classification is characterized by a sensitivity of 91%, a specificity of 95% and a false detection rate of 4.8%, the detection rate of the over- all processing chain being of 68%. The performance of the boosting- based classification are in accordance with the most recent reference on this particular topic using the same dataset. Building of a dedicated WCE image database should permit the improvement of the global detection rate.
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Dates et versions

hal-00823858 , version 1 (18-05-2013)

Identifiants

Citer

Juan Silva, Aymeric Histace, Olivier Romain, Xavier Dray, Bertrand Granado, et al.. Towards real-time in situ polyp detection in WCE images using a boosting-based approach. International conference of the IEEE Engineering in Medecine and Biology Society, Jul 2013, Osaka, Japan. pp.5711-5714, ⟨10.1109/EMBC.2013.6610847⟩. ⟨hal-00823858⟩
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