Shuwei Xing,Inaara Ahmed-Fazal,Utsav Pardasani et al.
Shuwei Xing et al.
Purpose: In conventional fluoroscopy-guided interventions, the 2D projective nature of X-ray imaging limits depth perception and leads to prolonged radiation exposure. Virtual fluoroscopy, combined with spatially tracked ...
A deep learning-based approach to automated rib fracture detection and CWIS classification [0.03%]
基于深度学习的肋骨骨折检测和CWIS分类自动化方法研究
Victoria Marting,Noor Borren,Max R van Diepen et al.
Victoria Marting et al.
Purpose: Trauma-induced rib fractures are a common injury. The number and characteristics of these fractures influence whether a patient is treated nonoperatively or surgically. Rib fractures are typically diagnosed using...
Automated vision-based assistance tools in bronchoscopy: stenosis severity estimation [0.03%]
支气管镜检查中的自动化视觉辅助工具：狭窄严重程度估计
Clara Tomasini,Javier Rodriguez-Puigvert,Dinora Polanco et al.
Clara Tomasini et al.
Purpose: Subglottic stenosis refers to the narrowing of the subglottis, the airway between the vocal cords and the trachea. Its severity is typically evaluated by estimating the percentage of obstructed airway. This estim...
Ren Kawaguchi,Tomoya Minagawa,Kensuke Hori et al.
Ren Kawaguchi et al.
Purpose: Deep learning has been widely used in research on sparse-view computed tomography (CT) image reconstruction. While sufficient training data can lead to high accuracy, collecting medical images is often challengin...
A methodological framework for integrating model-guided medicine and multidimensional information management systems: application in anti-aging healthcare [0.03%]
一种将模型引导型医学和多维信息管理系统相结合的方法框架：抗衰老医疗中的应用
Hugo Herrero Antón de Vez,Esteban Felez,Mario A Cypko
Hugo Herrero Antón de Vez
Purpose: This study introduces a methodological framework for integrating model-guided medicine (MGM) with multidimensional information management systems (MIMMS) to address healthcare's digital transformation challenges....
When do they StOP?: A first step toward automatically identifying team communication in the operating room [0.03%]
当他们停止时：向自动识别手术室团队沟通迈出第一步
Keqi Chen,Lilien Schewski,Vinkle Srivastav et al.
Keqi Chen et al.
Purpose: Surgical performance depends not only on surgeons' technical skills, but also on team communication within and across the different professional groups present during the operation. Therefore, automatically ident...
Acquiring submillimeter-accurate multi-task vision datasets for computer-assisted orthopedic surgery [0.03%]
用于计算机辅助骨科手术的亚毫米精度多任务视觉数据集的获取
Emma Most,Jonas Hein,Frédéric Giraud et al.
Emma Most et al.
Purpose: Advances in computer vision, particularly in optical image-based 3D reconstruction and feature matching, enable applications like marker-less surgical navigation and digitization of surgery. However, their develo...
Automated multimodel segmentation and tracking for AR-guided open liver surgery using scene-aware self-prompting [0.03%]
基于场景感知自提示的多模型分割和跟踪的AR引导开放式肝手术方法研究
Serouj Khajarian,Michael Schwimmbeck,Konstantin Holzapfel et al.
Serouj Khajarian et al.
Purpose: We introduce a multimodel, real-time semantic segmentation and tracking approach for Augmented Reality (AR)-guided open liver surgery. Our approach leverages foundation models and scene-aware re-prompting strateg...
Optimizing registration uncertainty visualization to support intraoperative decision-making during brain tumor resection [0.03%]
优化注册不确定性可视化以支持脑肿瘤切除术中的术中决策making期间的注册不确定性可视化以支持脑肿瘤切除术中的术中决策
M Geshvadi,R Dorent,C Galvin et al.
M Geshvadi et al.
Purpose: Neurosurgeons need to precisely localize and resect tumors without damaging critical brain tissue. However, deformation of the brain (i.e., 'brain shift') and other factors introduce uncertainty during image-guid...
SHADeS: self-supervised monocular depth estimation through non-Lambertian image decomposition [0.03%]
通过非兰伯特图像分解的自监督单目深度估计（SHADeS）
Rema Daher,Francisco Vasconcelos,Danail Stoyanov
Rema Daher
Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recognising which portions of the colon have been visualised and characterising the size and shape of polyps. This is still a very...