Overview of the VISCERAL Retrieval Benchmark 2015

Author:

Jiménez–del–Toro Oscar Alfonso,Hanbury Allan,Langs Georg,Foncubierta–Rodríguez Antonio,Müller Henning

Publisher

Springer International Publishing

Reference9 articles.

1. Choi, S.: Multimodal Medical Case-Based Retrieval on the Image and Report: SNUMedinfo at VISCERAL Benchmark. In: Müller, H., et al. (eds.) multimodal retrieval in the medical domain. LNCS, vol. 9059, pp. 124–128. Springer, Heidelberg (2015)

2. Foncubierta-Rodríguez, A., Müller, H.: Ground truth generation in medical imaging: a crowdsourcing based iterative approach. In: Workshop on Crowdsourcing for Multimedia, ACM Multimedia, October 2012

3. García Seco de Herrera, A.: Use case oriented medical visual information retrieval & system evaluation. Ph.D. thesis, University of Geneva (2015)

4. García Seco de Herrera, A., Foncubierta-Rodríguez, A., Markonis, D., Schaer, R., Müller, H.: Crowdsourcing for medical image classification. In: Annual Congress SGMI 2014 (2014)

5. Jiménez-del-Toro, O.A., Cirujeda, P., Dicente Cid, Y., Müller, H.: RadLex terms and local texture features for multimodal medical case retrival. In: Müller, H., et al. (eds.) Multimodal Retrieval in the Medical Domain. LNCS, vol. 9059, pp. 144–152. Springer, Heidelberg (2015)

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