Interactive pipeline for mandible reconstruction surgery planning using fibula free flap [0.03%]
一种基于腓骨皮瓣的下颌骨重建手术规划交互式流程
Sylvain Leclerc,Bianca Jansen Van Rensburg,Thibault De Villèle et al.
Sylvain Leclerc et al.
Purpose: Mandible reconstruction surgery using fibula free flap is a long and expensive process requiring extensive surgical experience. Indeed, the planning stage, mandible shaping, and therefore osteotomy positioning on...
Enhancing segmentation accuracy of the common iliac vein in OLIF51 surgery in intraoperative endoscopic video through gamma correction: a deep learning approach [0.03%]
通过伽马校正增强OLIF51手术术中内窥镜视频中髂总静脉分割精度的深度学习方法
Kaori Yamamoto,Reoto Ueda,Kazuhide Inage et al.
Kaori Yamamoto et al.
Purpose: The principal objective of this study was to develop and evaluate a deep learning model for segmenting the common iliac vein (CIV) from intraoperative endoscopic videos during oblique lateral interbody fusion for...
Augmented reality system for endoscopic pituitary surgery with automatic registration [0.03%]
自动配准的内镜垂体手术增强现实系统
Aure Enkaoua,João Ramalhinho,Mobarakol Islam et al.
Aure Enkaoua et al.
Purpose: Endoscopic pituitary surgery is a minimally invasive technique to remove pituitary tumours through the nose. Currently, image guidance may be used in the form of a tracked pointer to help surgeons navigate the re...
Accuracy of a novel, automated 2D-3D registration software for measuring cup position in total hip arthroplasty [0.03%]
一种用于全髋关节置换中测量股骨头位置的新型自动二维三维配准软件的精确度研究
Jevan Arulampalam,Moritz F Ehlke,Christopher Plaskos et al.
Jevan Arulampalam et al.
Purpose: This study evaluated the accuracy of an automated 2D-3D registration software for matching preoperative 3D models of the pelvis and acetabular component to intraoperative 2D fluoroscopy images in total hip arthro...
Automatic trajectory planning for stereotactic radiofrequency ablation in non-discrete search space [0.03%]
非离散解空间下射频消融立体定向自动轨迹规划方法研究
Adela Lukes,Reto Bale,Wolfgang Freysinger
Adela Lukes
Purpose: Radiofrequency ablation is a well established minimally invasive procedure to treat tumors in solid organs. During the procedure applicators are inserted into the tumor and cells around their tips are destroyed b...
Improving neck ultrasound image retrieval using intra-sweep representation learning [0.03%]
基于回扫表示学习的颈部超声图像检索方法研究
Wanwen Chen,Adam Schmidt,Eitan Prisman et al.
Wanwen Chen et al.
Purpose: Intraoperative ultrasound (US) can enhance real-time visualization in transoral robotic surgery (TORS) and improve the safety of the surgery. To develop a US guidance system for TORS, US probe localization and US...
KEVS: enhancing segmentation of visceral adipose tissue in pre-cystectomy CT with Gaussian kernel density estimation [0.03%]
基于高斯核密度估计的盆腔CT图像中腹脂组织分割方法研究
Thomas Boucher,Nicholas Tetlow,Annie Fung et al.
Thomas Boucher et al.
Purpose: The distribution of visceral adipose tissue (VAT) in cystectomy patients is indicative of the incidence of postoperative complications. Existing VAT segmentation methods for computed tomography (CT) employing int...
Improvements in dementia classification for brain SPECT volumes using vision transformer and the Brodmann areas [0.03%]
基于视觉变压器和Brodmann区的脑SPECT体积在痴呆分类中的改进
Hirotaka Wakao,Tomomichi Iizuka,Akinobu Shimizu
Hirotaka Wakao
Purpose: This study proposes a vision transformer (ViT)-based model for dementia classification, able to classify representative dementia with Alzheimer's disease, dementia with Lewy bodies, frontotemporal dementia, and h...
Shortcut learning leads to sex bias in deep learning models for photoacoustic tomography [0.03%]
基于快捷学习的光声层析成像深度学习模型性别偏见研究
Marcel Knopp,Christoph J Bender,Niklas Holzwarth et al.
Marcel Knopp et al.
Purpose: Shortcut learning has been identified as a source of algorithmic unfairness in medical imaging artificial intelligence (AI), but its impact on photoacoustic tomography (PAT), particularly concerning sex bias, rem...
A multi-model deep learning approach for the identification of coronary artery calcifications within 2D coronary angiography images [0.03%]
基于二维冠脉造影图像的冠状动脉钙化病变多模态深度学习检测方法
Edoardo De Rose,Ciro Benito Raggio,Ahmad Riccardo Rasheed et al.
Edoardo De Rose et al.
Purpose: Identifying and quantifying coronary artery calcification (CAC) is crucial for preoperative planning, as it helps to estimate both the complexity of the 2D coronary angiography (2DCA) procedure and the risk of de...