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IRIT & MISA at Image CLEF 2017 - Multi label classification

Abstract : In this paper, we describe the participation of the Mami team at ImageCLEF 2017 for the Image Caption task. We participated to the concept detection subtask which aims at assigning a set of concept labels to a medical image. We used transfer learning method with VGG19 model for feature extraction to solve this task, and apply those features as input of a new neural network.
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Submitted on : Tuesday, November 6, 2018 - 2:42:13 PM
Last modification on : Tuesday, September 8, 2020 - 10:42:05 AM
Long-term archiving on: : Thursday, February 7, 2019 - 3:40:05 PM


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  • HAL Id : hal-01913685, version 1
  • OATAO : 19083



Nomena Ny Hoavy, Josiane Mothe, Mamitiana Ignace Randrianarivony. IRIT & MISA at Image CLEF 2017 - Multi label classification. International Conference of the CLEF Association, CLEF 2017 Labs Working Notes (CLEF 2017), Sep 2017, Dublin, Ireland. pp. 1-6. ⟨hal-01913685⟩



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