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Deep Learning in Radiology: Does One Size Fit All?
Deep learning (DL) is a popular method that is used to perform many important tasks in radiology and medical imaging. Some forms of DL are able to accurately segment organs (essentially, trace the boundaries, enabling volume measurements or calculation of other properties). Other DL networks are abl...
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| Published in: | J Am Coll Radiol |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5877825/ https://ncbi.nlm.nih.gov/pubmed/29396120 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jacr.2017.12.027 |
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