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Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images
Image guidance systems that register scans of the prostate obtained using transrectal ultrasound (TRUS) and magnetic resonance imaging are becoming increasingly popular as a means of enabling tumor-targeted prostate cancer biopsy and treatment. However, intraoperative segmentation of TRUS images to...
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| Опубликовано в: : | J Med Imaging (Bellingham) |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6102407/ https://ncbi.nlm.nih.gov/pubmed/30840715 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.6.1.011003 |
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