Real-time surgical tool detection with multi-scale positional encoding and contrastive learning [0.03%]
基于多尺度位置编码和对比学习的实时手术工具检测方法
Gerardo Loza,Pietro Valdastri,Sharib Ali
Gerardo Loza
Real-time detection of surgical tools in laparoscopic data plays a vital role in understanding surgical procedures, evaluating the performance of trainees, facilitating learning, and ultimately supporting the autonomy of robotic systems. Ex...
Towards navigation in endoscopic kidney surgery based on preoperative imaging [0.03%]
基于术前影像的肾内窥镜手术导航方法研究
Ayberk Acar,Daiwei Lu,Yifan Wu et al.
Ayberk Acar et al.
Endoscopic renal surgeries have high re-operation rates, particularly for lower volume surgeons. Due to the limited field and depth of view of current endoscopes, mentally mapping preoperative computed tomography (CT) images of patient anat...
Scale-preserving shape reconstruction from monocular endoscope image sequences by supervised depth learning [0.03%]
基于单目内窥镜图像序列的尺度保持形状重建的监督深度学习方法
Takeshi Masuda,Ryusuke Sagawa,Ryo Furukawa et al.
Takeshi Masuda et al.
Reconstructing 3D shapes from images are becoming popular, but such methods usually estimate relative depth maps with ambiguous scales. A method for reconstructing a scale-preserving 3D shape from monocular endoscope image sequences through...
Papers from the 17th Joint Workshop on Augmented Environments for Computer Assisted Interventions at MICCAI 2023: Guest Editors' Foreword [0.03%]
第17届增强环境计算机辅助干预联合研讨会（MICCAI 2023）特刊：客座编辑前言
Cristian A Linte,Ziv Yaniv,Elvis Chen et al.
Cristian A Linte et al.
Revisiting instrument segmentation: Learning from decentralized surgical sequences with various imperfect annotations [0.03%]
重新审视器械分割：从分散的手术序列和各种不完整的标注中学习
Zhou Zheng,Yuichiro Hayashi,Masahiro Oda et al.
Zhou Zheng et al.
This paper focuses on a new and challenging problem related to instrument segmentation. This paper aims to learn a generalizable model from distributed datasets with various imperfect annotations. Collecting a large-scale dataset for centra...
Mixed reality based teleoperation and visualization of surgical robotics [0.03%]
基于混合现实的医疗机器人远程呈现与可视化技术
Letian Ai,Peter Kazanzides,Ehsan Azimi
Letian Ai
Surgical robotics has revolutionized the field of surgery, facilitating complex procedures in operating rooms. However, the current teleoperation systems often rely on bulky consoles, which limit the mobility of surgeons. This restriction r...
YOLOv7-RepFPN: Improving real-time performance of laparoscopic tool detection on embedded systems [0.03%]
基于嵌入式系统的腹腔镜工具检测的实时性能改进算法YoloV7-RepFPN
Yuzhang Liu,Yuichiro Hayashi,Masahiro Oda et al.
Yuzhang Liu et al.
This study focuses on enhancing the inference speed of laparoscopic tool detection on embedded devices. Laparoscopy, a minimally invasive surgery technique, markedly reduces patient recovery times and postoperative complications. Real-time ...
Development of an augmented reality guidance system for head and neck cancer resection [0.03%]
头颈癌切除手术的辅助现实导航系统的开发研究论文题目
Guansen Tong,Jiayi Xu,Michael Pfister et al.
Guansen Tong et al.
The use of head-mounted augmented reality (AR) for surgeries has grown rapidly in recent years. AR aids in intraoperative surgical navigation through overlaying three-dimensional (3D) holographic reconstructions of medical data. However, pe...
Fangjie Li,Qingying Gao,Nengyu Wang et al.
Fangjie Li et al.
Root canal therapy (RCT) is a widely performed procedure in dentistry, with over 25 million individuals undergoing it annually. This procedure is carried out to address inflammation or infection within the root canal system of affected teet...
Performance evaluation in cataract surgery with an ensemble of 2D-3D convolutional neural networks [0.03%]
基于二维和三维卷积神经网络组合的白内障手术效果评估模型
Ummey Tanin,Adrienne Duimering,Christine Law et al.
Ummey Tanin et al.
An important part of surgical training in ophthalmology is understanding how to proficiently perform cataract surgery. Operating skill in cataract surgery is typically assessed by real-time or video-based expert review using a rating scale....