Reverse active learning based atrous DenseNet for pathological image classification

BACKGROUND: Due to the recent advances in deep learning, this model attracted researchers who have applied it to medical image analysis. However, pathological image analysis based on deep learning networks faces a number of challenges, such as the high resolution (gigapixel) of pathological images a...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yuexiang, Xie, Xinpeng, Shen, Linlin, Liu, Shaoxiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712615/
https://www.ncbi.nlm.nih.gov/pubmed/31455228
http://dx.doi.org/10.1186/s12859-019-2979-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712615/
https://www.ncbi.nlm.nih.gov/pubmed/31455228
http://dx.doi.org/10.1186/s12859-019-2979-y

Ejemplares similares