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) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
StackBox_An_improved_framework_for_precise_polyp_detection.pdf | 291,51 kB | Adobe PDF | Ver/Abrir | |
Artificial_intelligence_framework_for_an_effective_detection_and_localization_of_colon_polyps.pdf | 2,45 MB | Adobe PDF | Ver/Abrir |
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