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Automatic Vertebrae Localization and Identification by Combining Deep SSAE Contextual Features and Structured Regression Forest
Automatic vertebrae localization and identification in medical computed tomography (CT) scans is of great value for computer-aided spine diseases diagnosis. In order to overcome the disadvantages of the approaches employing hand-crafted, low-level features and based on field-of-view priori assumptio...
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| Udgivet i: | J Digit Imaging |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer International Publishing
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6456738/ https://ncbi.nlm.nih.gov/pubmed/30631979 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-018-0140-5 |
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