Self-Supervised Video Desmoking for Laparoscopic Surgery
Due to the difficulty of collecting real paired data, most existing desmoking methods train the
models by synthesizing smoke, generalizing poorly to real surgical scenarios. Although a …
models by synthesizing smoke, generalizing poorly to real surgical scenarios. Although a …
MARS-GAN: multilevel-feature-learning attention-aware based generative adversarial network for removing surgical smoke
Surgical smoke caused poor visibility during laparoscopic surgery, the smoke removal is
important to improve the safety and efficiency of the surgery. We propose the Multilevel …
important to improve the safety and efficiency of the surgery. We propose the Multilevel …
DeSmoke-LAP: improved unpaired image-to-image translation for desmoking in laparoscopic surgery
Purpose Robotic-assisted laparoscopic surgery has become the trend in medicine thanks to
its convenience and lower risk of infection against traditional open surgery. However, the …
its convenience and lower risk of infection against traditional open surgery. However, the …
Encoder-decoder networks with guided transmission map for effective image dehazing
A plain-architecture and effective image dehazing scheme, called Encoder-Decoder
Network with Guided Transmission Map (EDN-GTM), is proposed in this paper. Nowadays …
Network with Guided Transmission Map (EDN-GTM), is proposed in this paper. Nowadays …
Multi-stages de-smoking model based on CycleGAN for surgical de-smoking
X Su, Q Wu - International Journal of Machine Learning and …, 2023 - Springer
Smoke generated during laparoscopic surgery blocks the doctor's sight and degrades the
quality of the images severely; thus, surgical de-smoking is a crucial task during …
quality of the images severely; thus, surgical de-smoking is a crucial task during …
Smoke removal and image enhancement of laparoscopic images by an artificial multi-exposure image fusion method
In laparoscopic surgery, image quality is often degraded by surgical smoke or by side effects
of the illumination system, such as reflections, specularities, and non-uniform illumination …
of the illumination system, such as reflections, specularities, and non-uniform illumination …
Development and validation of a deep learning-based laparoscopic system for improving video quality
Q Zheng, R Yang, X Ni, S Yang, Z Jiang… - International Journal of …, 2023 - Springer
Purpose A clear surgical field of view is a prerequisite for successful laparoscopic surgery.
Surgical smoke, image blur, and lens fogging can affect the clarity of laparoscopic imaging …
Surgical smoke, image blur, and lens fogging can affect the clarity of laparoscopic imaging …
Smoke veil prior regularized surgical field desmoking without paired in-vivo data
Though deep learning-based surgical smoke removal methods have shown significant
improvements in effectiveness and efficiency, the lack of paired smoke and smoke-free …
improvements in effectiveness and efficiency, the lack of paired smoke and smoke-free …
A desmoking algorithm for endoscopic images based on improved U‐Net model
J Lin, M Jiang, Y Pang, H Wang, Z Chen… - Concurrency and …, 2021 - Wiley Online Library
In laparoscopic surgery, the smoke generated by operations including electrocautery and
laser ablation seriously degrades the quality of endoscopic images. It not only reduces the …
laser ablation seriously degrades the quality of endoscopic images. It not only reduces the …
A 3D reconstruction based on an unsupervised domain adaptive for binocular endoscopy
G Zhang, Z Huang, J Lin, Z Li, E Cao, Y Pang… - Frontiers in …, 2022 - frontiersin.org
In minimally invasive surgery, endoscopic image quality plays a crucial role in surgery.
Aiming at the lack of a real parallax in binocular endoscopic images, this article proposes an …
Aiming at the lack of a real parallax in binocular endoscopic images, this article proposes an …