Self-attention random forest for breast cancer image classification

INTRODUCTION: Early screening and diagnosis of breast cancer can not only detect hidden diseases in time, but also effectively improve the survival rate of patients. Therefore, the accurate classification of breast cancer images becomes the key to auxiliary diagnosis. METHODS: In this paper, on the...

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Detalles Bibliográficos
Autores principales: Li, Jia, Shi, Jingwen, Chen, Jianrong, Du, Ziqi, Huang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939756/
https://www.ncbi.nlm.nih.gov/pubmed/36814814
http://dx.doi.org/10.3389/fonc.2023.1043463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939756/
https://www.ncbi.nlm.nih.gov/pubmed/36814814
http://dx.doi.org/10.3389/fonc.2023.1043463

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