Chapter of Book
ResNet
Author/s | 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 |
Editor | Bernal, Jorge
Histace, Aymeric |
Department | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Publication Date | 2021 |
Deposit Date | 2022-07-20 |
Published in |
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ISBN/ISSN | 978-3-030-64339-3 |
Abstract | 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. |
Citation | 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. |
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