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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Detalles Bibliográficos
Autores principales: Luo, Huoling, Hu, Qingmao, Jia, Fucang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2019
Materias:
Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945682/
https://www.ncbi.nlm.nih.gov/pubmed/32038849
http://dx.doi.org/10.1049/htl.2019.0063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945682/
https://www.ncbi.nlm.nih.gov/pubmed/32038849
http://dx.doi.org/10.1049/htl.2019.0063

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