The development and validation of pathological sections based U-Net deep learning segmentation model for the detection of esophageal mucosa and squamous cell neoplasm

BACKGROUND: Deep learning methods have demonstrated great potential for processing high-resolution images. The U-Net model, in particular, has shown proficiency in the segmentation of biomedical images. However, limited research has examined the application of deep learning to esophageal squamous ce...

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Detalles Bibliográficos
Autores principales: Su, Feng, Zhang, Wei, Liu, Yunzhong, Chen, Shanglin, Lin, Miao, Feng, Mingxiang, Yin, Jun, Tan, Lijie, Shen, Yaxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643591/
https://www.ncbi.nlm.nih.gov/pubmed/37969831
http://dx.doi.org/10.21037/jgo-23-587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643591/
https://www.ncbi.nlm.nih.gov/pubmed/37969831
http://dx.doi.org/10.21037/jgo-23-587

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