Unsupervised binocular depth prediction network for laparoscopic surgery
Minimally invasive laparoscopic surgery is associated with small wounds and short recovery time, reducing postoperative infections. Traditional two-dimensional (2D) laparoscopic imaging lacks depth perception and does not provide quantitative depth information, thereby limiting the field of vision a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-10-01
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| Series: | Computer Assisted Surgery |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/24699322.2018.1557889 |