Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/145017
Título: A stacking-based artificial intelligence framework for an effective detection and localization of colon polyps
Autor: Albuquerque, Carina
Henriques, Roberto
Castelli, Mauro
Palavras-chave: Humans
Artificial Intelligence
Colonic Polyps/diagnosis
Algorithms
Colon
Colonoscopy/methods
Colorectal Neoplasms/diagnosis
General
SDG 3 - Good Health and Well-being
Data: 1-Dez-2022
Resumo: Polyp detection through colonoscopy is a widely used method to prevent colorectal cancer. The automation of this process aided by artificial intelligence allows faster and improved detection of polyps that can be missed during a standard colonoscopy. In this work, we propose implementing different object detection algorithms for polyp detection. To improve the mean average precision (mAP) of the detection, we combine the baseline models through a stacking approach. The experiments demonstrate the potential of this new methodology, which can reduce the workload for oncologists and increase the precision of the localization of polyps. Our proposal achieves an mAP of 0.86, translated into an improvement of 34.9% compared to the best baseline model and 28.8% with respect to the weighted boxes fusion ensemble technique.
Descrição: Albuquerque, C., Henriques, R., & Castelli, M. (2022). A stacking-based artificial intelligence framework for an effective detection and localization of colon polyps. Scientific Reports, 12, 1-12. [17678]. https://doi.org/10.21203/rs.3.rs-1862362/v1, https://doi.org/10.1038/s41598-022-21574-w ------- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
Peer review: yes
URI: http://hdl.handle.net/10362/145017
DOI: https://doi.org/10.21203/rs.3.rs-1862362/v1
ISSN: 2045-2322
Aparece nas colecções:NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)



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