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Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels
This paper presents a new, automatic method of accurately extracting lesions from CT data. It first determines, at each voxel, a five-dimensional (5D) feature vector that contains intensity, shape index, and 3D spatial location. Then, nonparametric mean shift clustering forms superpixels from these...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2967838/ https://ncbi.nlm.nih.gov/pubmed/21052498 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2010/983963 |
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