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Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies
PURPOSE: To test the hypothesis that artificial intelligence (AI) techniques can aid in identifying and assessing lesion severity in the cartilage, bone marrow, meniscus, and anterior cruciate ligament (ACL) in the knee, improving overall MRI interreader agreement. MATERIALS AND METHODS: This retros...
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| I publikationen: | Radiol Artif Intell |
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| Huvudupphovsmän: | , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Radiological Society of North America
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8166108/ https://ncbi.nlm.nih.gov/pubmed/34142088 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2021200165 |
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