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Deep learning with deep convolutional neural network using FDG-PET/CT for malignant pleural mesothelioma diagnosis
Objectives: This study analyzed an artificial intelligence (AI) deep learning method with a three-dimensional deep convolutional neural network (3D DCNN) in regard to diagnostic accuracy to differentiate malignant pleural mesothelioma (MPM) from benign pleural disease using FDG-PET/CT results. Resul...
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| Udgivet i: | Oncotarget |
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| Main Authors: | , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Impact Journals LLC
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8202770/ https://ncbi.nlm.nih.gov/pubmed/34136087 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.27979 |
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