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Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative
We present a fully automated learning-based approach for segmenting knee cartilage in presence of osteoarthritis (OA). The algorithm employs a hierarchical set of two random forest classifiers. The first is a neighborhood approximation forest, the output probability map of which is utilized as a fea...
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| Foilsithe in: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2016
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5471813/ https://ncbi.nlm.nih.gov/pubmed/28626842 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-46723-8_40 |
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