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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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| Pubblicato in: | Int J Comput Assist Radiol Surg |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2019
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| Soggetti: | |
| Accesso online: | 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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