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Deep learning only by normal brain PET identify unheralded brain anomalies
BACKGROUND: Recent deep learning models have shown remarkable accuracy for the diagnostic classification. However, they have limitations in clinical application due to the gap between the training cohorts and real-world data. We aimed to develop a model trained only by normal brain PET data with an...
Tallennettuna:
| Julkaisussa: | EBioMedicine |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6557913/ https://ncbi.nlm.nih.gov/pubmed/31003928 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ebiom.2019.04.022 |
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