Los investigadores del CEIEC Álvaro García Tejedor y Alberto Nogales asistirán a la conferencia IntelliSys 2022 en Amsterdam (Países Bajos) para presentar el artículo «How do thermography colors influence breast cancer diagnosis? A hybrid model of convolutional networks with a weighted average algorithm». El trabajo cuenta con la colaboración de Fernando Pérez Lara, alumno de 4º curso de Ingeniería Informática y Javier Morales, Avanade Ibérica, bajo el acuerdo Cátedra de Inteligencia Artificial Avanade-UFV.
CEIEC researchers Álvaro García Tejedor and Alberto Nogales will attend the IntelliSys 2022 conference in Amsterdam (The Netherlands) to present the paper «How do thermography colors influence breast cancer diagnosis? A hybrid model of convolutional networks with a weighted average algorithm». The work has the collaboration of Fernando Pérez Lara, 4th year student of Computer Engineering and Javier Morales, Avanade Ibérica, under the Avanade-UFV Artificial Intelligence Chair agreement.
In this research, a hybrid model of convolution networks and genetic algorithms is presented to evaluate which temperature ranges have the greatest influence on the diagnosis of breast cancer by means of thermography. The article is framed within the project PID2019-110686RB-I00 «Cost-effective screening of breast cancer by mammography, ultrasound and thermography.»