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Minimally invasive and robot-assisted surgery relies heavily on endoscopic imaging, yet surgical smoke produced by electrocautery and vessel-sealing instruments can severely degrade visual perception and hinder vision-based functionalities.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Jingpei Lu , Fengyi Jiang , Xiaorui Zhang , Lingbo Jin , Omid Mohareri

Endoscopic surgery relies on intraoperative video, making image quality a decisive factor for surgical safety and efficacy. Yet, endoscopic videos are often degraded by uneven illumination, tissue scattering, occlusions, and motion blur,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Handing Xu , Zhenguo Nie , Tairan Peng , Huimin Pan , Xin-Jun Liu

Smoke generated by surgical instruments during laparoscopic surgery can obscure the visual field, impairing surgeons' ability to perform operations accurately and safely. Thus, smoke removal task for laparoscopic images is highly desirable.…

Image and Video Processing · Electrical Eng. & Systems 2024-07-19 Wenhui Chang , Hongming Chen

Laparoscopic surgery has a limited field of view. Laser ablation in a laproscopic surgery causes smoke, which inevitably influences the surgeon's visibility. Therefore, it is of vital importance to remove the smoke, such that a clear…

Computer Vision and Pattern Recognition · Computer Science 2018-12-31 Congcong Wang , Vivek Sharma , Yu Fan , Faouzi Alaya Cheikh , Azeddine Beghdadi , Ole Jacob Elle , Rainer Stiefelhagen

Surgical simulation is essential for medical training, enabling practitioners to develop crucial skills in a risk-free environment while improving patient safety and surgical outcomes. However, conventional methods for building simulation…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Zhenya Yang

Universal image restoration aims to recover clean images from arbitrary real-world degradations using a single inference model. Despite significant progress, existing all-in-one restoration networks do not scale to multiple degradations. As…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Debabrata Mandal , Soumitri Chattopadhyay , Yujie Wang , Marc Niethammer , Praneeth Chakravarthula

Scene graphs (SGs) provide structured relational representations crucial for decoding complex, dynamic surgical environments. This PRISMA-ScR-guided scoping review systematically maps the evolving landscape of SG research in surgery,…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Angelo Henriques , Korab Hoxha , Daniel Zapp , Peter C. Issa , Nassir Navab , M. Ali Nasseri

Intraoperative navigation relies heavily on precise 3D reconstruction to ensure accuracy and safety during surgical procedures. However, endoscopic scenarios present unique challenges, including sparse features and inconsistent lighting,…

Graphics · Computer Science 2025-07-17 Yuchao Zheng , Jianing Zhang , Guochen Ning , Hongen Liao

High-resolution imaging is crucial for enhancing visual clarity and enabling precise computer-assisted guidance in minimally invasive surgery (MIS). Despite the increasing adoption of 4K endoscopic systems, there remains a significant gap…

Endoluminal endoscopic procedures are essential for diagnosing colorectal cancer and other severe conditions in the digestive tract, urogenital system, and airways. 3D reconstruction and novel-view synthesis from endoscopic images are…

Accurate 3D reconstruction of dynamic surgical scenes from endoscopic video is essential for robotic-assisted surgery. While recent 3D Gaussian Splatting methods have shown promise in achieving high-quality reconstructions with fast…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Jialei Chen , Xin Zhang , Mobarakol Islam , Francisco Vasconcelos , Danail Stoyanov , Daniel S. Elson , Baoru Huang

Efficient three-dimensional reconstruction and real-time visualization are critical in surgical scenarios such as endoscopy. In recent years, 3D Gaussian Splatting (3DGS) has demonstrated remarkable performance in efficient 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Taoyu Wu , Yiyi Miao , Zhuoxiao Li , Haocheng Zhao , Kang Dang , Jionglong Su , Limin Yu , Haoang Li

Complete reconstruction of surgical scenes is crucial for robot-assisted surgery (RAS). Deep depth estimation is promising but existing works struggle with depth discontinuities, resulting in noisy predictions at object boundaries and do…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Xu Wang , Shuai Zhang , Baoru Huang , Danail Stoyanov , Evangelos B. Mazomenos

Distortion identification and rectification in images and videos is vital for achieving good performance in downstream vision applications. Instead of relying on fixed trial-and-error based image processing pipelines, we propose a two-level…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Aditya Kapoor , Harshad Khadilkar , Jayvardhana Gubbi

The lack of labeled datasets in 3D vision for surgical scenes inhibits the development of robust 3D reconstruction algorithms in the medical domain. Despite the popularity of Neural Radiance Fields and 3D Gaussian Splatting in the general…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 John J. Han , Jie Ying Wu

Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical treatment. Artifacts such as motion blur, bubbles, specular reflections, floating objects and pixel saturation impede the visual interpretation…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Sharib Ali , Felix Zhou , Adam Bailey , Barbara Braden , James East , Xin Lu , Jens Rittscher

Advances in image restoration and enhancement techniques have led to discussion about how such algorithmscan be applied as a pre-processing step to improve automatic visual recognition. In principle, techniques like deblurring and…

Computer Vision and Pattern Recognition · Computer Science 2019-01-30 Rosaura G. Vidal , Sreya Banerjee , Klemen Grm , Vitomir Struc , Walter J. Scheirer

In laparoscopic surgery, the visibility in the image can be severely degraded by the smoke caused by the $CO_2$ injection, and dissection tools, thus reducing the visibility of organs and tissues. This lack of visibility increases the…

Image and Video Processing · Electrical Eng. & Systems 2020-04-22 Sebastián Salazar-Colores , Hugo Alberto-Moreno , César Javier Ortiz-Echeverri , Gerardo Flores

Reconstructing the scene of robotic surgery from the stereo endoscopic video is an important and promising topic in surgical data science, which potentially supports many applications such as surgical visual perception, robotic surgery…

Computer Vision and Pattern Recognition · Computer Science 2021-07-02 Yonghao Long , Zhaoshuo Li , Chi Hang Yee , Chi Fai Ng , Russell H. Taylor , Mathias Unberath , Qi Dou

Endoscopy is the most widely used medical technique for cancer and polyp detection inside hollow organs. However, images acquired by an endoscope are frequently affected by illumination artefacts due to the enlightenment source orientation.…

Image and Video Processing · Electrical Eng. & Systems 2022-07-07 Axel Garcia-Vega , Ricardo Espinosa , Gilberto Ochoa-Ruiz , Thomas Bazin , Luis Eduardo Falcon-Morales , Dominique Lamarque , Christian Daul
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