Cargando…
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...
Autores principales: | Li, Yuexiang, Xie, Xinpeng, Shen, Linlin, Liu, Shaoxiong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
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 |
Ejemplares similares
-
Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning
por: Wakili, Musa Adamu, et al.
Publicado: (2022) -
Classification of breast cancer histopathological images using interleaved DenseNet with SENet (IDSNet)
por: Li, Xia, et al.
Publicado: (2020) -
DenseNet_ HybWWoA: A DenseNet-Based Brain Metastasis Classification with a Hybrid Metaheuristic Feature Selection Strategy
por: Alshammari, Abdulaziz
Publicado: (2023) -
Classification of asymmetry in mammography via the DenseNet convolutional neural network
por: Liao, Tingting, et al.
Publicado: (2023) -
DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification
por: Zhu, Ziquan, et al.
Publicado: (2022)