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Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography
Aneurysm size correlates with rupture risk and is important for treatment planning. User annotation of aneurysm size is slow and tedious, particularly for large data sets. Geometric shortcuts to compute size have been shown to be inaccurate, particularly for nonstandard aneurysm geometries. To devel...
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| Udgivet i: | J Digit Imaging |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer International Publishing
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6737124/ https://ncbi.nlm.nih.gov/pubmed/30511281 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-018-0162-z |
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