Abstract
We introduced in GIANA 2017 and 2018 challenges CVC-VideoClinicDB database, which is composed of 38 short and long sequences extracted from routinary explorations at Hospital Clinic of Barcelona, Spain using OLYMPUS endoscopes. We present in this chapter the content of the database as well as the complete validation framework used to assess the performance of polyp detection methods.
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Available at https://giana.grand-challenge.org.
Reference
Bernal, J., Histace, A., Masana, M., Angermann, Q., Sánchez-Montes, C., de Miguel, C. R., et al. (2019). Gtcreator: A flexible annotation tool for image-based datasets. International Journal of Computer Assisted Radiology and Surgery, 14(2), 191–201.
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Bernal, J., Fernández, G., García-Rodríguez, A., Tudela, Y., Riera, M., Sánchez, F.J. (2021). Polyp Detection in Colonoscopy Videos. In: Bernal, J., Histace, A. (eds) Computer-Aided Analysis of Gastrointestinal Videos. Springer, Cham. https://doi.org/10.1007/978-3-030-64340-9_18
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DOI: https://doi.org/10.1007/978-3-030-64340-9_18
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