Details preserved unsupervised depth estimation by fusing traditional stereo knowledge from laparoscopic images

Autor: Huoling Luo, Qingmao Hu, Fucang Jia

Publikováno v: Healthcare Technology Letters (2019)

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

Externí odkaz: https://doaj.org/article/abf79e64a1e6467aa603d63e9edd9b29

Details preserved unsupervised depth estimation by fusing traditional stereo knowledge from laparoscopic images.

Autor: Luo H; Research Lab for Medical Imaging and Digital Surgery, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, People's Republic of China., Hu Q; Research Lab for Medical Imaging and Digital Surgery, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, People's Republic of China., Jia F; Research Lab for Medical Imaging and Digital Surgery, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China.; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, People's Republic of China.

Publikováno v: Healthcare technology letters [Healthc Technol Lett] 2019 Nov 13; Vol. 6 (6), pp. 154-158. Date of Electronic Publication: 2019 Nov 13 (Print Publication: 2019).