A three-dimensional measurement method for binocular endoscopes based on deep learning
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2000679.pdf
Reference17 articles.
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2. Anderson BW, Smyrk TC, Anderson KS, et al., 2016. Endoscopic overestimation of colorectal polyp size. Gastrointest Endosc, 83(1):201–208. https://doi.org/10.1016/j.gie.2015.06.058
3. Cai HF, Wang R, Li Y, et al., 2018. Role of 3D reconstruction in the evaluation of patients with lower segment oesophageal cancer. J Thorac Dis, 10(7):3940–3947. https://doi.org/10.21037/jtd.2018.06.119
4. Dimas G, Bianchi F, Iakovidis DK, et al., 2020. Endoscopic single-image size measurements. Meas Sci Technol, 31(7):074010. https://doi.org/10.1088/1361-6501/ab803c
5. Furukawa R, Aoyama M, Hiura S, et al., 2014. Calibration of a 3D endoscopic system based on active stereo method for shape measurement of biological tissues and specimen. Proc 36th Annual Int Conf of the IEEE Engineering in Medicine and Biology Society, p.4991–4994. https://doi.org/10.1109/EMBC.2014.6944745
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