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Statistical Learning Algorithm for In-situ and Invasive Breast Carcinoma Segmentation
DCE-MRI has proven to be a highly sensitive imaging modality in diagnosing breast cancers. However, analyzing the DCE-MRI is time-consuming and prone to errors due to the large volume of data. Mathematical models to quantify contrast perfusion, such as the Black Box methods and Pharmacokinetic analy...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3725215/ https://ncbi.nlm.nih.gov/pubmed/23693000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compmedimag.2013.04.003 |
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