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Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy
PURPOSE: Colorectal cancer is the third most common cancer worldwide, and early therapeutic treatment of precancerous tissue during colonoscopy is crucial for better prognosis and can be curative. Navigation within the colon and comprehensive inspection of the endoluminal tissue are key to successfu...
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| Yayımlandı: | Int J Comput Assist Radiol Surg |
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| Asıl Yazarlar: | , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer International Publishing
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6570710/ https://ncbi.nlm.nih.gov/pubmed/30989505 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-019-01962-w |
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