Self-Supervised Video Desmoking for Laparoscopic Surgery

R Wu, Z Zhang, S Zhang, L Gou, H Chen… - … on Computer Vision, 2024 - Springer
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 …

MARS-GAN: multilevel-feature-learning attention-aware based generative adversarial network for removing surgical smoke

T Hong, P Huang, X Zhai, C Gu, B Tian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

DeSmoke-LAP: improved unpaired image-to-image translation for desmoking in laparoscopic surgery

Y Pan, S Bano, F Vasconcelos, H Park… - International Journal of …, 2022 - Springer
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 …

Encoder-decoder networks with guided transmission map for effective image dehazing

LA Tran, DC Park - The Visual Computer, 2024 - Springer
A plain-architecture and effective image dehazing scheme, called Encoder-Decoder
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 …

Smoke removal and image enhancement of laparoscopic images by an artificial multi-exposure image fusion method

MA Azam, KB Khan, E Rehman, SU Khan - Soft Computing, 2022 - Springer
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 …

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 …

Smoke veil prior regularized surgical field desmoking without paired in-vivo data

C Wang, M Zhao, C Zhou, N Dong, ZA Khan… - Computers in Biology …, 2024 - Elsevier
Though deep learning-based surgical smoke removal methods have shown significant
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 …

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 …