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Communication Dans Un Congrès Année : 2012

Multiscale Convolutional Neural Networks for Vision-based Classification of Cells

Résumé

We present a Multiscale Convolutional Neural Network (MCNN) approach for vision-based classification of cells. Based on several deep Convolutional Neural Networks (CNN) acting at different resolutions, the proposed architecture avoid the classical handcrafted features extraction step, by processing features extraction and classification as a whole. The proposed approach gives better classification rates than classical state-of-the-art methods allowing a safer Computer-Aided Diagnosis of pleural cancer.
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Dates et versions

hal-00813419 , version 1 (21-01-2014)

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Pierre Buyssens, Abderrahim Elmoataz, Olivier Lezoray. Multiscale Convolutional Neural Networks for Vision-based Classification of Cells. Asian Conference on Computer Vision (ACCV), 2012, South Korea. pp.342-352, ⟨10.1007/978-3-642-37444-9_27⟩. ⟨hal-00813419⟩
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