dc.creator | Contreras, Yudith | |
dc.creator | Vera, Miguel | |
dc.creator | Huérfano, Yoleidy | |
dc.creator | Valbuena, Oscar | |
dc.creator | Salazar, Williams | |
dc.creator | Vera, María Isabel | |
dc.creator | Borrero, Maryury | |
dc.creator | Barrera, Doris | |
dc.creator | Hernández, Carlos | |
dc.creator | Molina, Ángel Valentín | |
dc.creator | Martínez, Luis Javier | |
dc.creator | Sáenz, Frank | |
dc.creator | Vivas, Marisela | |
dc.creator | Salazar, Juan | |
dc.creator | Gelvez, Elkin | |
dc.date.accessioned | 2019-01-25T16:23:23Z | |
dc.date.accessioned | 2022-11-14T19:50:30Z | |
dc.date.available | 2019-01-25T16:23:23Z | |
dc.date.available | 2022-11-14T19:50:30Z | |
dc.date.created | 2019-01-25T16:23:23Z | |
dc.date.issued | 2018 | |
dc.identifier | 18564550 | |
dc.identifier | http://hdl.handle.net/20.500.12442/2527 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5183413 | |
dc.description.abstract | In this work an adaptation of the Cross Industry
Standard Process for Data Mining (CRISP-DM) methodology,
in the context of digital medical image
processing is proposed. Specifically, synthetic images reported
in the literature are used as numerical phantoms.
Construction of the synthetic images was inspired by a detailed
analysis of some of the imperfections found in the
real multilayer cardiac computed tomography images. Of
all the imperfections considered, only Poisson noise was
selected and incorporated into a synthetic database. An
example is presented in which images contaminated with
Poisson noise are processed and then subject to two classical
digital smoothing techniques, identified as Gaussian
filter and anisotropic diffusion filter. Additionally, the peak
of the signal-to-noise ratio (PSNR) is considered as a metric
to analyze the performance of these filters. | |
dc.language | eng | |
dc.publisher | Sociedad Latinoamericana de Hipertensión | |
dc.rights | Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | Revista Latinoamericana de Hipertensión | |
dc.source | Vol. 13, No. 4 (2018) | |
dc.source | http://www.revhipertension.com/rlh_4_2018/1_digital_processing_of_medical.pdf | |
dc.subject | CRISP-DM Methodology | |
dc.subject | Synthetic cardiac images | |
dc.subject | Computerized tomography | |
dc.subject | Noise | |
dc.subject | Artifacts | |
dc.title | Digital processing of medical images: application in synthetic cardiac datasets using the CRISP_DM methodology | |
dc.type | article | |