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Model–Free Visualization of Suspicious Lesions in Breast MRI Based on Supervised and Unsupervised Learning
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has become an important tool in breast cancer diagnosis, but evaluation of multitemporal 3D image data holds new challenges for human observers. To aid the image analysis process, we apply supervised and unsupervised pattern recognition...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2008
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2597847/ https://ncbi.nlm.nih.gov/pubmed/19255616 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.engappai.2007.04.005 |
| Etiketak: |
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