Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Wang, Guankun"'
Autor:
Wang, Guankun, Xiao, Han, Gao, Huxin, Zhang, Renrui, Bai, Long, Yang, Xiaoxiao, Li, Zhen, Li, Hongsheng, Ren, Hongliang
submucosal dissection (ESD) enables rapid resection of large lesions, minimizing recurrence rates and improving long-term overall survival. Despite these advantages, ESD is technically challenging and carries high risks of complications, necessitatin
Externí odkaz:
http://arxiv.org/abs/2410.07540
Autor:
Bai, Long, Wang, Guankun, Islam, Mobarakol, Seenivasan, Lalithkumar, Wang, An, Ren, Hongliang
Medical visual question answering (VQA) bridges the gap between visual information and clinical decision-making, enabling doctors to extract understanding from clinical images and videos. In particular, surgical VQA can enhance the interpretation of
Externí odkaz:
http://arxiv.org/abs/2408.04958
The precise tracking and segmentation of surgical instruments have led to a remarkable enhancement in the efficiency of surgical procedures. However, the challenge lies in achieving accurate segmentation of surgical instruments while minimizing the n
Externí odkaz:
http://arxiv.org/abs/2404.10640
Autor:
Wang, Guankun, Bai, Long, Nah, Wan Jun, Wang, Jie, Zhang, Zhaoxi, Chen, Zhen, Wu, Jinlin, Islam, Mobarakol, Liu, Hongbin, Ren, Hongliang
Recent advancements in Surgical Visual Question Answering (Surgical-VQA) and related region grounding have shown great promise for robotic and medical applications, addressing the critical need for automated methods in personalized surgical mentorshi
Externí odkaz:
http://arxiv.org/abs/2405.10948
Wireless capsule endoscopy (WCE) is a non-invasive diagnostic procedure that enables visualization of the gastrointestinal (GI) tract. Deep learning-based methods have shown effectiveness in disease screening using WCE data, alleviating the burden on
Externí odkaz:
http://arxiv.org/abs/2402.11476
Autor:
Bai, Long, Wang, Guankun, Wang, Jie, Yang, Xiaoxiao, Gao, Huxin, Liang, Xin, Wang, An, Islam, Mobarakol, Ren, Hongliang
In the realm of automated robotic surgery and computer-assisted interventions, understanding robotic surgical activities stands paramount. Existing algorithms dedicated to surgical activity recognition predominantly cater to pre-defined closed-set pa
Externí odkaz:
http://arxiv.org/abs/2402.06985
Head detection provides distribution information of pedestrian, which is crucial for scene statistical analysis, traffic management, and risk assessment and early warning. However, scene complexity and large-scale variation in the real world make acc
Externí odkaz:
http://arxiv.org/abs/2310.09492
Endoscopy is a widely used technique for the early detection of diseases or robotic-assisted minimally invasive surgery (RMIS). Numerous deep learning (DL)-based research works have been developed for automated diagnosis or processing of endoscopic v
Externí odkaz:
http://arxiv.org/abs/2308.14100
Robotic-assisted tracheal intubation requires the robot to distinguish anatomical features like an experienced physician using deep-learning techniques. However, real datasets of oropharyngeal organs are limited due to patient privacy issues, making
Externí odkaz:
http://arxiv.org/abs/2305.11686
Video-assisted transoral tracheal intubation (TI) necessitates using an endoscope that helps the physician insert a tracheal tube into the glottis instead of the esophagus. The growing trend of robotic-assisted TI would require a medical robot to dis
Externí odkaz:
http://arxiv.org/abs/2305.10883