Capítulo de Libro
ResNet
Autor/es | Amaya Rodríguez, Isabel
Civit Masot, Javier Luna Perejón, Francisco Durán López, Lourdes Rakhlin, Alexander Nikolenko, Sergey Kondo, Satoshi Laiz, Pablo Vitriá, Jordi Seguí, Santi Brandao, Patrick |
Coordinador/Director | Bernal, Jorge
Histace, Aymeric |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2021 |
Fecha de depósito | 2022-07-20 |
Publicado en |
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ISBN/ISSN | 978-3-030-64339-3 |
Resumen | In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with the purpose of solving the GIANA challenge. In some cases like RTC-ATC group ResNet-50 was used as a ... In this chapter, all groups have used Residual Network (ResNet) (He et al. 2016) as part of different architectures with the purpose of solving the GIANA challenge. In some cases like RTC-ATC group ResNet-50 was used as a layer in Faster Convolutional Neural Network (FCNN) in order to build an automated recognition system to detect the presence of polyps in colonoscopy images. |
Cita | Amaya Rodríguez, I., Civit Masot, J.,...,Brandao, P. (2021). ResNet. En J. Bernal, A. Histace (Ed.), Computer-Aided Analysis of Gastrointestinal Videos (pp. 99-114). Cham, Switzerland: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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ResNet.pdf | 612.6Kb | [PDF] | Ver/ | |