SwinCVS: a unified approach to classifying critical view of safety structures in laparoscopic cholecystectomy [0.03%]
基于内镜胆囊切除术的安全结构关键视野分类的统一方法
Franciszek M Nowak,Evangelos B Mazomenos,Brian Davidson et al.
Franciszek M Nowak et al.
Purpose: Laparoscopic cholecystectomy is one of the most commonly performed surgeries in the UK. Despite its safety, the volume of operations leads to a notable number of complications, with surgical errors often mitigate...
Jonas Mehtali,Juan Verde,Caroline Essert
Jonas Mehtali
Purpose: Percutaneous thermal ablation is increasingly popular but still suffers from a complex preoperative planning, especially with multiple needles. Existing planning methods either use theoretical ablation shapes for...
Intelligent control of robotic X-ray devices using a language-promptable digital twin [0.03%]
一种使用语言Prompt的机器人X光设备的数字孪生智能控制方法研究
Benjamin D Killeen,Anushri Suresh,Catalina Gomez et al.
Benjamin D Killeen et al.
Purpose: Natural language offers a convenient, flexible interface for controlling robotic C-arm X-ray systems, making advanced functionality and controls easily accessible.Please confirm if the author names are presented ...
Leo Uramoto,Yuichiro Hayashi,Masahiro Oda et al.
Leo Uramoto et al.
Purpose: Semantic segmentation of laparoscopic images is a key problem in surgical scene understanding. Creating ground truth labels for semantic segmentation tasks is time consuming, and in the medical field a need for m...
Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT [0.03%]
基于参数的金属伪影快速修正算法用于术中CBCT导航
Maximilian Rohleder,Andreas Maier,Bjoern Kreher
Maximilian Rohleder
Purpose: Metal artifacts remain a persistent issue in intraoperative CBCT imaging. Particularly in orthopedic and trauma applications, these artifacts obstruct clinically relevant areas around the implant, reducing the mo...
Touching the tumor boundary: a pilot study on ultrasound-based virtual fixtures for breast-conserving surgery [0.03%]
基于超声波的乳腺癌保守手术虚拟夹具法试点研究
Laura Connolly,Tamas Ungi,Adnan Munawar et al.
Laura Connolly et al.
Purpose: Delineating tumor boundaries during breast-conserving surgery is challenging as tumors are often highly mobile, non-palpable, and have irregularly shaped borders. To address these challenges, we introduce a coope...
FACT: foundation model for assessing cancer tissue margins with mass spectrometry [0.03%]
基于质谱评估癌组织边缘的模型事实（ FACT ）
Mohammad Farahmand,Amoon Jamzad,Fahimeh Fooladgar et al.
Mohammad Farahmand et al.
Purpose: Accurately classifying tissue margins during cancer surgeries is crucial for ensuring complete tumor removal. Rapid Evaporative Ionization Mass Spectrometry (REIMS), a tool for real-time intraoperative margin ass...
Robot-assisted ultrasound probe calibration for image-guided interventions [0.03%]
机器人辅助超声探头校准在图像引导干预中的应用
Atharva Paralikar,Pavan Mantripragada,Trong Nguyen et al.
Atharva Paralikar et al.
Background: Trackable ultrasound probes facilitate ultrasound-guided procedures, allowing real-time fusion of augmented ultrasound images and live video streams. The integration aids surgeons in accurately locating lesion...
Multimodal imaging platform for enhanced tumor resection in neurosurgery: integrating hyperspectral and pCLE technologies [0.03%]
整合超光谱和pCLE技术的神经外科增强肿瘤切除多模态影像平台
Alfie Roddan,Tobias Czempiel,Chi Xu et al.
Alfie Roddan et al.
Purpose: This work presents a novel multimodal imaging platform that integrates hyperspectral imaging (HSI) and probe-based confocal laser endomicroscopy (pCLE) for improved brain tumor identification during neurosurgery....
Reinforcement learning for safe autonomous two-device navigation of cerebral vessels in mechanical thrombectomy [0.03%]
基于强化学习的机械取栓术脑血管双设备自主安全导航方法
Harry Robertshaw,Benjamin Jackson,Jiaheng Wang et al.
Harry Robertshaw et al.
Purpose: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure times, minimizing radiation exposure, and enhancing patient safety. However, current reinforcement learning (RL) methods only...