StaSiS-Net: A stacked and siamese disparity estimation network for depth reconstruction in modern 3D laparoscopy

Author:

Bardozzo Francesco,Collins Toby,Forgione Antonello,Hostettler Alexandre,Tagliaferri Roberto

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference84 articles.

1. Tensorflow: A system for large-scale machine learning;Abadi,2016

2. High quality monocular depth estimation via transfer learning;Alhashim;arXiv preprint arXiv:1812.11941,2018

3. Stereo correspondence and reconstruction of endoscopic data challenge;Allan;arXiv preprint arXiv:2101.01133,2021

4. Antal, B., 2016. Automatic 3d point set reconstruction from stereo laparoscopic images using deep neural networks. arXiv preprint arXiv:1608.00203.

5. Autonomous tissue retraction in robotic assisted minimally invasive surgery–a feasibility study;Attanasio;IEEE Rob. Autom. Lett.,2020

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