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 layer in Faster Convolutional Neural Network (FCNN) in order to build an automated recognition system to detect the presence of polyps in colonoscopy images.
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Amaya-Rodriguez, I. et al. (2021). ResNet. In: Bernal, J., Histace, A. (eds) Computer-Aided Analysis of Gastrointestinal Videos. Springer, Cham. https://doi.org/10.1007/978-3-030-64340-9_12
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