Wavelet-Based Denoising Optimization for Endoscopic Gastric Slow-Wave Recordings [0.03%]
基于小波的内镜胃慢波记录除噪优化方法研究
Peter Tremain,Jarrah M Dowrick,Leo K Cheng et al.
Peter Tremain et al.
New, minimally invasive, endoscopic methods for recording gastric bioelectrical slow waves from the mucosal surface are emerging to address the current limitations of invasive recordings. Filtering techniques for these new methods have reli...
Comparative Evaluation of Ultrasound-Guided Peripheral Intravenous Catheter Insertion Techniques in a Virtual Reality Simulator [0.03%]
基于虚拟现实模拟器的超声引导外周静脉置管技术比较评价研究
Alejandro Olivares,Canelle Schuhler-Husson,Yahia Zine et al.
Alejandro Olivares et al.
Peripheral intravenous catheter (PIVC) insertion is a common yet challenging procedure. Although ultrasound guidance improves procedural accuracy and patient outcome, its complexity limits its routine adoption to highly experienced clinicia...
Ensemble Machine Learning Approaches for Automated Fungal Keratitis Diagnosis Using In Vivo Confocal Microscopy Images [0.03%]
基于共聚焦显微镜图像的自动真菌性角膜炎诊断的集成机器学习方法
Sowmya Kamath S,Shikha Reji,Vaibhava Lakshmi et al.
Sowmya Kamath S et al.
Fungal keratitis (FK) is a severe ocular infection that can lead to significant vision problems or blindness if not diagnosed and treated promptly. Early and accurate detection of FK is essential for effective management. Traditional diagno...
PRISM: Past-Regularized Iterative Self-Distillation With Momentum for Polyp Segmentation [0.03%]
基于动量的过去正则化自蒸馏方法用于多发性息肉分割
Tugberk Erol,Tuba Caglikantar,Duygu Sarikaya
Tugberk Erol
Polyps are abnormal tissue growths in the colon that may develop into colorectal cancer if left undetected. Accurate segmentation in medical imaging is essential for early diagnosis and treatment. Although deep learning has greatly improved...
Markerless Tracking of Robotic Surgical Instruments With Head Mounted Display for Augmented Reality Applications [0.03%]
基于头戴式显示器的标记缺失情况下内窥镜手术器械跟踪及其在增强现实中的应用
Nicholas Greene,Aoqi Long,Yonghao Long et al.
Nicholas Greene et al.
In robotic-assisted laparoscopic surgery, an assistant surgeon stands at the bedside assisting the intervention, while the surgeon sits at the console teleoperating the robot. Tasks for the assistant include navigating new instruments into ...
Real-Time Tool Detection in Laparoscopic Datasets for Surgical Training in Low-Resource Settings [0.03%]
低资源环境下的腹腔镜手术训练中实时工具检测的研究
Omar Choudhry,Sharib Ali,Chandra Shekhar Biyani et al.
Omar Choudhry et al.
In low-resource settings, there is a critical need for skilled surgeons. Alternative training processes that include computer-assisted surgical skill evaluation are essential to address this gap. Using tool detection, surgical videos can be...
Improving SLAM-Based Navigation in Flexible Ureteroscopy by Kidney Stone and Surgical Tool Segmentation [0.03%]
基于SLAM导航的柔性输尿管镜肾结石和手术工具分割改善方法研究
Laura Oliva-Maza,Florian Steidle,Julian Klodmann et al.
Laura Oliva-Maza et al.
Flexible ureteroscopy is a widely used surgical procedure for diagnosing and treating various urinary tract conditions, particularly kidney stones. Ensuring the complete extraction of all stones is crucial to prevent recurrence and the need...
Generalized Few-Shot MM-Former For Surgical Scene Panoptic Segmentation [0.03%]
一种面向手术场景全景分割的Few-shot多模态通用MM-Former方法
Xiaoyan Zhang,Liming Wu,Zhichen Wang et al.
Xiaoyan Zhang et al.
Panoptic segmentation is crucial for surgical scene understanding but remains a significant challenge. This is particularly due to the high cost of annotation, which often results in class imbalance in existing datasets, leading to poor per...
Acquiring Aligned Endoscopic and Depth Image Pairs Using Structured-Light Projection, Neural Surfaces and an Electromagnetic Positional Sensor [0.03%]
基于结构光、神经表面及电磁定位传感器的内窥 RGB-D 图像数据集获取方法
Ryo Furukawa,Taiyo Inui,Ryusuke Sagawa et al.
Ryo Furukawa et al.
Minimally invasive endoscopic procedures are gaining importance for better patient outcomes. While traditional systems use standard cameras, there is an increasing demand for 3D information to improve diagnostic and surgical accuracy. As a ...
Assessing Learning-Based Reconstructed Liver Surfaces From Partial Point Clouds for Improving Pre- to Intra-Operative 3D to 3D Registration [0.03%]
基于部分点云的学习重建肝脏表面在提高术前到术中三维到三维配准中的应用评估
Nakul Poudel,Zixin Yang,Richard Simon et al.
Nakul Poudel et al.
The registration process for fusing pre-operative information with intra-operative data collected during image-guided liver surgery struggles due to partial visibility. Learning-based partial point cloud-to-complete surface generation has s...