2 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.IV2024
Attention-Aware Laparoscopic Image Desmoking Network with Lightness Embedding and Hybrid Guided Embedding
Ziteng Liu, Jiahua Zhu, Bainan Liu +3
This paper presents a novel method of smoke removal from the laparoscopic images. Due to the heterogeneous nature of surgical smoke, a two-stage network is proposed to estimate the…
cs.CV2022★ 2 cited
Self-Supervised Surgical Instrument 3D Reconstruction from a Single Camera Image
Ange Lou, Xing Yao, Ziteng Liu +2
Surgical instrument tracking is an active research area that can provide surgeons feedback about the location of their tools relative to anatomy. Recent tracking methods are mainly…
cs.CV2022★ 2 cited
Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation
Ange Lou, Kareem Tawfik, Xing Yao +2
A common problem with segmentation of medical images using neural networks is the difficulty to obtain a significant number of pixel-level annotated data for training. To address t…