Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging

Y Zhang, D Hong, D McClement, O Oladosu… - Journal of Neuroscience …, 2021 - Elsevier
Background Deep learning using convolutional neural networks (CNNs) has shown great
promise in advancing neuroscience research. However, the ability to interpret the CNNs …
被引用次数：97 相关文章

Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging

Y Zhang, D Hong, D McClement… - Journal of …, 2021 - pubmed.ncbi.nlm.nih.gov
Background Deep learning using convolutional neural networks (CNNs) has shown great
promise in advancing neuroscience research. However, the ability to interpret the CNNs …

[引用][C] Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging

Y Zhang, D Hong, D McClement, O Oladosu… - Journal of …, 2021 - cir.nii.ac.jp
Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types
using clinical brain magnetic resonance imaging | CiNii Research CiNii 国立情報学研究所 学術 …

Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging.

Y Zhang, D Hong, D McClement, O Oladosu… - Journal of …, 2021 - europepmc.org
Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types
using clinical brain magnetic resonance imaging. - Abstract - Europe PMC Sign in | Create an …