An xception model based on residual attention mechanism for the classification of benign and malignant gastric ulcers

To explore the application value of convolutional neural network combined with residual attention mechanism and Xception model for automatic classification of benign and malignant gastric ulcer lesions in common digestive endoscopy images under the condition of insufficient data. For the problems of...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yixin, Zhang, Lihang, Hao, Zezhou, Yang, Ziyuan, Wang, Shanjuan, Zhou, Xiaoguang, Chang, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470570/
https://www.ncbi.nlm.nih.gov/pubmed/36100650
http://dx.doi.org/10.1038/s41598-022-19639-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470570/
https://www.ncbi.nlm.nih.gov/pubmed/36100650
http://dx.doi.org/10.1038/s41598-022-19639-x

Ejemplares similares