Semi-automatic detection of hepatic tumor in computed tomography images
| dc.contributor.author | Sáenz, F | |
| dc.contributor.author | Vera, M | |
| dc.contributor.author | López, J | |
| dc.contributor.author | Huérfano, Y | |
| dc.contributor.author | Valbuena, O | |
| dc.contributor.author | Vera, M I | |
| dc.contributor.author | Gelvez-Almeida, E | |
| dc.contributor.author | Salazar-Torres, J | |
| dc.date.accessioned | 2020-04-14T03:19:32Z | |
| dc.date.available | 2020-04-14T03:19:32Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | In this work, the main purpose is develop a computational segmentation strategy for liver tumor semiautomatic detection. This strategy considers three-dimensional computed tomography images and it consists of techniques application that, on the one hand, diminish the noise and detect the edges of the objects present in those images and, on the other hand, generate the liver tumor morphology. For this, the sequence of techniques composed of gaussian smoothing, gradient magnitude, median filter, region growing and binary morphological dilation are used. The value obtained, for the metric called Dice score, show a good correlation between manual segmentation, performed by a hepatologist, and the tumor segmentation obtained using the proposed technique. This type of segmentation is the extreme utility for the characterization of hepatic tumors and the planning of the clinical behavior to be followed in the treatment of this human liver disease. | eng |
| dc.format.mimetype | eng | |
| dc.identifier.issn | 17426596 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12442/5098 | |
| dc.language.iso | eng | eng |
| dc.publisher | IOP Publishing | eng |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | eng |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.source | Journal of Physics: Conference Series | eng |
| dc.source | 1408 (2019) | eng |
| dc.source.uri | https://iopscience.iop.org/article/10.1088/1742-6596/1408/1/012001 | eng |
| dc.title | Semi-automatic detection of hepatic tumor in computed tomography images | eng |
| dc.type | article | eng |
| dc.type.driver | article | eng |
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| dcterms.references | Saénz F, Vera M, Huérfano Y, Molina V, Martinez L, Vera MI, Salazar W, Gelvez E, Salazar J, Valbuena O, Robles H, Bautista M, Arango J 2018 Brain hematoma computational segmentation. J. Phys. Conf. Ser. 1126 012071 | eng |
| dcterms.references | Vera M 2014 Segmentación de estructuras cardiacas en imágenes de tomografía computarizada multicorte (Venezuela: Universidad de Los Andes) | spa |
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| oaire.version | info:eu-repo/semantics/publishedVersion | spa |
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