Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marcos Gutiérrez-López"'
Autor:
Marcos Gutiérrez-López, Javier Díaz-Carmona, Juan Prado-Olivarez, José Antonio Gutiérrez-Gnecchi, Marco Antonio Rodríguez-Frías, Celia Francisco-Martínez
Publikováno v:
Nova Scientia, Vol 12, Iss 25 (2020)
Introducción: La medición y caracterización de la impedancia eléctrica de los tejidos biológicos permite distinguir entre tejidos sanos y patológicos. El uso de técnicas como la tomografía de impedancia eléctrica es muy utilizada en pruebas
Externí odkaz:
https://doaj.org/article/8cae3e32204143bb989371eb0238d043
Autor:
Juan Carlos Gómez-Cortés, José Javier Díaz-Carmona, José Alfredo Padilla-Medina, Alejandro Espinosa Calderon, Alejandro Israel Barranco Gutiérrez, Marcos Gutiérrez-López, Juan Prado-Olivarez
Publikováno v:
Micromachines, Vol 13, Iss 4, p 496 (2022)
Impedance measuring acquisition systems focused on breast tumor detection, as well as image processing techniques for 3D imaging, are reviewed in this paper in order to define potential opportunity areas for future research. The description of report
Externí odkaz:
https://doaj.org/article/9a6cf72ebba74160ae780359a8d84bfc
Autor:
Juan Prado-Olivarez, José Antonio Gutiérrez-Gnecchi, Marco Antonio Rodriguez-Frias, Marcos Gutiérrez-López, Celia Francisco-Martínez, Javier Diaz-Carmona
Publikováno v:
Nova Scientia, Vol 12, Iss 25 (2020)
Introducción: La medición y caracterización de la impedancia eléctrica de los tejidos biológicos permite distinguir entre tejidos sanos y patológicos. El uso de técnicas como la tomografía de impedancia eléctrica es muy utilizada en pruebas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::556538c0859d01d788ff1b924a6d3b3b
https://doi.org/10.21640/ns.v12i25.2450
https://doi.org/10.21640/ns.v12i25.2450
Autor:
Javier Diaz-Carmona, Marcos Gutiérrez-López, C. A. Herrera-Ramirez, Carlos G. Medina-Sánchez, José Antonio Gutiérrez-Gnecchi, Juan Prado-Olivarez
Publikováno v:
Journal of Sensors, Vol 2019 (2019)
There is a worldwide need for new methodologies to prediagnose breast cancer in an early stage, which helps to notably increase the possibility of saving the mammary gland or patient’s life. This work describes a new methodology proposal based on e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::899cfe6a6ce6094b578aae25bb443c3c
https://doaj.org/article/b8e969d55567453c9e36863a2e5c05c8
https://doaj.org/article/b8e969d55567453c9e36863a2e5c05c8
Autor:
Adan Antonio Alonso-Ramirez, Tat'y Mwata-Velu, Carlos Hugo Garcia-Capulin, Horacio Rostro-Gonzalez, Juan Prado-Olivarez, Marcos Gutierrez-Lopez, Alejandro Israel Barranco-Gutierrez
Publikováno v:
IEEE Access, Vol 10, Pp 97348-97359 (2022)
This work aims to classify malaria infected red blood cells from those uninfected using two deep learning approaches. Plasmodium parasite transmitted by a female anopheles’s mosquitoes bite is the main cause of malaria. Commonly, Microbiological an
Externí odkaz:
https://doaj.org/article/e6f15fdd36bb42eb877fc73a8d3c7f00
Autor:
Marcos Gutiérrez-Lopez, Juan Prado-Olivarez, Carolina Matheus-Troconis, Alfredo Padilla-Medina, Alejandro I. Barranco-Gutiérrez, Alejandro Espinosa-Calderon, Carlos A. Herrera-Ramírez, Javier Diaz-Carmona
Publikováno v:
Sensors, Vol 22, Iss 7, p 2747 (2022)
(1) Background: As breast cancer studies suggest, a high percentage of breast density (PBD) may be related to breast cancer incidence. Although PBD screening is one of the strongest predictors of breast cancer risk, X-ray-based mammography evaluation
Externí odkaz:
https://doaj.org/article/121d3cc4e04c4c86887d6cb73f134e57