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Details preserved unsupervised depth estimation by fusing traditional stereo knowledge from laparoscopic images
Depth estimation plays an important role in vision-based laparoscope surgical navigation systems. Most learning-based depth estimation methods require ground truth depth or disparity images for training; however, these data are difficult to obtain in laparoscopy. The authors present an unsupervised...
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| Publicado no: | Healthc Technol Lett |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Institution of Engineering and Technology
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6945682/ https://ncbi.nlm.nih.gov/pubmed/32038849 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2019.0063 |
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