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Identification of Early Esophageal Cancer by Semantic Segmentation

Early detection of esophageal cancer has always been difficult, thereby reducing the overall five-year survival rate of patients. In this study, semantic segmentation was used to predict and label esophageal cancer in its early stages. U-Net was used as the basic artificial neural network along with...

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Detalles Bibliográficos
Autores principales: Fang, Yu-Jen, Mukundan, Arvind, Tsao, Yu-Ming, Huang, Chien-Wei, Wang, Hsiang-Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331549/
https://www.ncbi.nlm.nih.gov/pubmed/35893299
http://dx.doi.org/10.3390/jpm12081204

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