Cargando…
Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
Ensemble learning aims to improve prediction performance by combining several models or forecasts. However, how much and which ensemble learning techniques are useful in deep learning-based pipelines for pancreas computed tomography (CT) image classification is a challenge. Ensemble approaches are t...
Autores principales: | Bakasa, Wilson, Viriri, Serestina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591225/ https://www.ncbi.nlm.nih.gov/pubmed/37876961 http://dx.doi.org/10.3389/frai.2023.1232640 |
Ejemplares similares
-
VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction
por: Bakasa, Wilson, et al.
Publicado: (2023) -
Deep Ensemble Learning for Retinal Image Classification
por: Ho, Edward, et al.
Publicado: (2022) -
Predicting energy use in construction using Extreme Gradient Boosting
por: Han, Jiaming, et al.
Publicado: (2023) -
Learning with privileged and sensitive information: a gradient-boosting approach
por: Yan, Siwen, et al.
Publicado: (2023) -
EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification
por: Sobti, Priyal, et al.
Publicado: (2021)