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Medical case retrieval from a committee of decision trees

Abstract : A novel content-based information retrieval framework, designed to cover several medical applications, is presented in this paper. The presented framework allows the retrieval of possibly incomplete medical cases consisting of several images together with semantic information. It relies on a committee of decision trees, decision support tools well suited to process this type of information. In our proposed framework, images are characterized by their digital content. It was applied to two heterogeneous medical datasets for computer aided diagnosis: a diabetic retinopathy follow-up dataset (DRD) and a mammography screening dataset (DDSM). Measure of precision among the top five retrieved results of 0.788+-0.137 and 0.869+-0.161 was obtained on DRD and DDSM, respectively. On DRD for instance, it increases by half the retrieval of single images.
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  • HAL Id : hal-00515356, version 1

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Gwénolé Quellec, Mathieu Lamard, Lynda Bekri, Guy Cazuguel, Christian Roux, et al.. Medical case retrieval from a committee of decision trees. IEEE Transactions on Information Technology in Biomedicine, Institute of Electrical and Electronics Engineers, 2010, 14 (5), pp.1227-1235. ⟨hal-00515356⟩

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