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Enhanced segmentation of gastrointestinal polyps from capsule endoscopy images with artifacts using ensemble learning

BACKGROUND: Endoscopy artifacts are widespread in real capsule endoscopy (CE) images but not in high-quality standard datasets. AIM: To improve the segmentation performance of polyps from CE images with artifacts based on ensemble learning. METHODS: We collected 277 polyp images with CE artifacts fr...

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Detalles Bibliográficos
Autores principales:	Zhou, Jun-Xiao, Yang, Zhan, Xi, Ding-Hao, Dai, Shou-Jun, Feng, Zhi-Qiang, Li, Jun-Yan, Xu, Wei, Wang, Hong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Baishideng Publishing Group Inc 2022
Materias:	Retrospective Study
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669827/ https://www.ncbi.nlm.nih.gov/pubmed/36405108 http://dx.doi.org/10.3748/wjg.v28.i41.5931

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