High-Resolution Histopathological Image Classification Model Based on Fused Heterogeneous Networks with Self-Supervised Feature Representation

Applying machine learning technology to automatic image analysis and auxiliary diagnosis of whole slide image (WSI) may help to improve the efficiency, objectivity, and consistency of pathological diagnosis. Due to its extremely high resolution, it is still a great challenge to directly process WSI...

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Detalles Bibliográficos
Autores principales: Lai, Zhi-Fei, Zhang, Gang, Zhang, Xiao-Bo, Liu, Hong-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420597/
https://www.ncbi.nlm.nih.gov/pubmed/36046446
http://dx.doi.org/10.1155/2022/8007713

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420597/
https://www.ncbi.nlm.nih.gov/pubmed/36046446
http://dx.doi.org/10.1155/2022/8007713

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