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dc.contributor.authorMoreno, Silvia
dc.contributor.authorBonfante, Mario
dc.contributor.authorZurek, Eduardo
dc.contributor.authorSan Juan, Homero
dc.date.accessioned2019-08-13T13:59:14Z
dc.date.available2019-08-13T13:59:14Z
dc.date.issued2019-07
dc.identifier.isbn9789899843493
dc.identifier.issn21660727
dc.identifier.urihttps://hdl.handle.net/20.500.12442/3702
dc.description.abstractLung cancer is the leading cause of death from cancer worldwide. Medical images are essential in the diagnosis and prognosis of lung cancer. Medical image processing techniques such as Radiomics allow extracting information from these images that it is not accessible without computational means, and may be useful in the detection and treatment of cancer. This article presents the state of the art of image processing techniques applied in the study of lung cancer, emphasizing in two main tasks: segmentation of nodules or tumors, and extraction of useful features for classification and prognosis of tumor evolution using Radiomics.eng
dc.language.isoengeng
dc.publisherIEEEeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceIEEE Xplore Digital Libraryeng
dc.source2019 14th Iberian Conference on Information Systems and Technologies (CISTI)eng
dc.source.urihttps://ieeexplore.ieee.org/document/8760888eng
dc.subjectLung Cancereng
dc.subjectMedical Image Processingeng
dc.subjectRadiomicseng
dc.titleStudy of Medical Image Processing techniques applied to Lung Cancereng
dc.typearticleeng
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