Cargando…
DenseNet_ HybWWoA: A DenseNet-Based Brain Metastasis Classification with a Hybrid Metaheuristic Feature Selection Strategy
Brain metastases (BM) are the most severe consequence of malignancy in the brain, resulting in substantial illness and death. The most common primary tumors that progress to BM are lung, breast, and melanoma. Historically, BM patients had poor clinical outcomes, with limited treatment options includ...
Autor principal: | Alshammari, Abdulaziz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216652/ https://www.ncbi.nlm.nih.gov/pubmed/37239025 http://dx.doi.org/10.3390/biomedicines11051354 |
Ejemplares similares
-
Classification of asymmetry in mammography via the DenseNet convolutional neural network
por: Liao, Tingting, et al.
Publicado: (2023) -
Protein Contact Map Prediction Based on ResNet and DenseNet
por: Li, Zhong, et al.
Publicado: (2020) -
DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification
por: Zhu, Ziquan, et al.
Publicado: (2022) -
Reverse active learning based atrous DenseNet for pathological image classification
por: Li, Yuexiang, et al.
Publicado: (2019) -
Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning
por: Wakili, Musa Adamu, et al.
Publicado: (2022)