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...

Descripción completa

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

Internet

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

Ejemplares similares