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Learning deep similarity metric for 3D MR–TRUS image registration
PURPOSE: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressive cancers. A key component of MR–TRUS fusion is image registration. However, it is very challenging to obtain a robust...
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| Publicado no: | Int J Comput Assist Radiol Surg |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7641874/ https://ncbi.nlm.nih.gov/pubmed/30382457 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-018-1875-7 |
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