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Title of Journal: J Supercomput

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Abbravation: The Journal of Supercomputing

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Springer US

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10.1002/chin.199348004

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1573-0484

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Integrating 3D image descriptors of margin sharpne

Authors: José Raniery Ferreira Junior Marcelo Costa Oliveira Paulo Mazzoncini de AzevedoMarques
Publish Date: 2016/07/20
Volume: 73, Issue: 8, Pages: 3451-3467
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Abstract

Due to the difficulty to diagnose lung cancer it is important to integrate contentbased image retrieval methods with the pulmonary nodule classification process since they are capable of retrieving similar cases from large image databases that were previously diagnosed The goal of this paper is to evaluate an integrated image feature vector composed of 3D attributes of margin sharpness and texture on similar pulmonary nodule retrieval and to optimize the runtime of nodule comparison process with a graphics processing unit GPU Retrieval efficiency was evaluated on the ten most similar cases on different multiprocessor architectures Results showed that integrated attributes obtained higher efficiency on similar nodule retrieval with an increase of up to 26 percentage points compared to isolated margin sharpness and texture descriptors Results also showed that GPU increased nodule retrieval performance with a speedup of 237times on nodule comparison runtime

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