Semantic Segmentation of Gastric Polyps in Endoscopic Images Based on Convolutional Neural Networks and an Integrated Evaluation Approach

Convolutional neural networks (CNNs) have received increased attention in endoscopic images due to their outstanding advantages. Clinically, some gastric polyps are related to gastric cancer, and accurate identification and timely removal are critical. CNN-based semantic segmentation can delineate e...

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Detalles Bibliográficos
Autores principales: Yan, Tao, Qin, Ye Ying, Wong, Pak Kin, Ren, Hao, Wong, Chi Hong, Yao, Liang, Hu, Ying, Chan, Cheok I, Gao, Shan, Chan, Pui Pun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376250/
https://www.ncbi.nlm.nih.gov/pubmed/37508833
http://dx.doi.org/10.3390/bioengineering10070806

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376250/
https://www.ncbi.nlm.nih.gov/pubmed/37508833
http://dx.doi.org/10.3390/bioengineering10070806

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