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An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images
PURPOSE: To develop and evaluate a new automatic classification algorithm to identify voxels containing skin, vasculature, adipose, and fibroglandular tissue in dedicated breast CT images. METHODS: The proposed algorithm combines intensity‐ and region‐based segmentation methods with energy minimizin...
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| Pubblicato in: | Med Phys |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5997547/ https://ncbi.nlm.nih.gov/pubmed/29676025 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12920 |
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