A Review of 3D Reconstruction Techniques for Deformable Tissues in Robotic Surgery
As a crucial and intricate task in robotic minimally invasive surgery, reconstructing surgical
scenes using stereo or monocular endoscopic video holds immense potential for clinical …
scenes using stereo or monocular endoscopic video holds immense potential for clinical …
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels
Q Tian, Z Chen, H Liao, X Huang, L Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Single-image depth estimation is essential for endoscopy tasks such as localization,
reconstruction, and augmented reality. Most existing methods in surgical scenes focus on in …
reconstruction, and augmented reality. Most existing methods in surgical scenes focus on in …
Head Pose Estimation and 3D Neural Surface Reconstruction via Monocular Camera in situ for Navigation and Safe Insertion into Natural Openings
As the significance of simulation in medical care and intervention continues to grow, it is
anticipated that a simplified and low-cost platform can be set up to execute personalized …
anticipated that a simplified and low-cost platform can be set up to execute personalized …
Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
B Zhang, Y Chen, Y Zhao, J Zhang, H Ren - arXiv preprint arXiv …, 2024 - arxiv.org
Foundation models have become prominent in computer vision, achieving notable success
in various tasks. However, their effectiveness largely depends on pre-training with extensive …
in various tasks. However, their effectiveness largely depends on pre-training with extensive …
Advancing Depth Anything Model for Unsupervised Monocular Depth Estimation in Endoscopy
B Li, B Liu, J Yue, F Zhou - arXiv preprint arXiv:2409.07723, 2024 - arxiv.org
Depth estimation is a cornerstone of 3D reconstruction and plays a vital role in minimally
invasive endoscopic surgeries. However, most current depth estimation networks rely on …
invasive endoscopic surgeries. However, most current depth estimation networks rely on …
Towards Full-parameter and Parameter-efficient Self-learning For Endoscopic Camera Depth Estimation
S Zhao, C Du, K Qi, X Chen, X Di - arXiv preprint arXiv:2410.00979, 2024 - arxiv.org
Adaptation methods are developed to adapt depth foundation models to endoscopic depth
estimation recently. However, such approaches typically under-perform training since they …
estimation recently. However, such approaches typically under-perform training since they …