GCLDNet: Gastric cancer lesion detection network combining level feature aggregation and attention feature fusion

BACKGROUND: Analysis of histopathological slices of gastric cancer is the gold standard for diagnosing gastric cancer, while manual identification is time-consuming and highly relies on the experience of pathologists. Artificial intelligence methods, particularly deep learning, can assist pathologis...

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Detalles Bibliográficos
Autores principales: Shi, Xu, Wang, Long, Li, Yu, Wu, Jian, Huang, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464831/
https://www.ncbi.nlm.nih.gov/pubmed/36106104
http://dx.doi.org/10.3389/fonc.2022.901475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464831/
https://www.ncbi.nlm.nih.gov/pubmed/36106104
http://dx.doi.org/10.3389/fonc.2022.901475

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