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(18)F-FDG-PET/CT Whole-Body Imaging Lung Tumor Diagnostic Model: An Ensemble E-ResNet-NRC with Divided Sample Space
Under the background of (18)F-FDG-PET/CT multimodal whole-body imaging for lung tumor diagnosis, for the problems of network degradation and high dimension features during convolutional neural network (CNN) training, beginning with the perspective of dividing sample space, an E-ResNet-NRC (ensemble...
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| Izdano u: | Biomed Res Int |
|---|---|
| Glavni autori: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Hindawi
2021
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8032520/ https://ncbi.nlm.nih.gov/pubmed/33869635 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/8865237 |
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