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Evaluation of an artificial intelligent hydrocephalus diagnosis model based on transfer learning
To design and develop artificial intelligence (AI) hydrocephalus (HYC) imaging diagnostic model using a transfer learning algorithm and evaluate its application in the diagnosis of HYC by non-contrast material-enhanced head computed tomographic (CT) images. A training and validation dataset of non-c...
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| Foilsithe in: | Medicine (Baltimore) |
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| Main Authors: | , , , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
Wolters Kluwer Health
2020
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7373556/ https://ncbi.nlm.nih.gov/pubmed/32702895 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000021229 |
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