Point detection through multi-instance deep heatmap regression for sutures in endoscopy [0.03%]
内窥镜缝线的多实例深度热图回归点检测
Lalith Sharan,Gabriele Romano,Julian Brand et al.
Lalith Sharan et al.
Purpose: Mitral valve repair is a complex minimally invasive surgery of the heart valve. In this context, suture detection from endoscopic images is a highly relevant task that provides quantitative information to analyse...
Cystic (including atypical) and solid breast lesion classification using the different features of quantitative ultrasound parametric images [0.03%]
使用定量超声参量图像的不同特征对囊性（包括非典型）和实性乳腺病变进行分类
A A Kolchev,D V Pasynkov,I A Egoshin et al.
A A Kolchev et al.
Purpose: The amount of ultrasound (US) breast examinations continues to grow rapidly because of the wider endorsement of breast cancer screening programs. Cysts are the most commonly diagnosed breast lesions. Atypical bre...
3D ultrasound navigation system for screw insertion in posterior spine surgery: a phantom study [0.03%]
后脊柱手术中螺钉固定的三维超声导航系统：一个在仿真模型上的研究
Andrew Chan,Eric Parent,Jim Mahood et al.
Andrew Chan et al.
Purpose: Posterior spinal fusion surgery is required to correct severe idiopathic scoliosis. The surgery involves insertion of screws which requires high accuracy to prevent neurologic damage to the spinal cord. Although ...
Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria [0.03%]
通过两个U网络的级联量化COVID-19肺炎中的肺部参与情况：在使用不同注释标准的多个数据集上进行训练和评估
Francesca Lizzi,Abramo Agosti,Francesca Brero et al.
Francesca Lizzi et al.
Purpose: This study aims at exploiting artificial intelligence (AI) for the identification, segmentation and quantification of COVID-19 pulmonary lesions. The limited data availability and the annotation quality are relev...
An image processing tool for the detection of anthracycline-induced cardiotoxicity by evaluating the myocardial metabolic activity in [18F]FDG PET/CT [0.03%]
一种通过评估[18F]FDG PET / CT的心肌代谢活性来检测蒽环类诱导心脏毒性的图像处理工具
Alexander P Seiffert,Adolfo Gómez-Grande,Gonzalo Castro-Leal et al.
Alexander P Seiffert et al.
Purpose: Chemotherapy-induced cardiotoxicity is one of the main complications during and after cancer treatment. While echocardiography is the most used technique in clinical practice to evaluate left ventricular (LV) dys...
Bongjin Koo,Maria R Robu,Moustafa Allam et al.
Bongjin Koo et al.
Purpose: The initial registration of a 3D pre-operative CT model to a 2D laparoscopic video image in augmented reality systems for liver surgery needs to be fast, intuitive to perform and with minimal interruptions to the...
Development of three-dimensional integral-type reconstruction formula for magnetic resonance elastography [0.03%]
磁共振弹性成像三维积分反演公式的研究与发展
Tasuku Takeda,Hiroshi Fujiwara,Mikio Suga
Tasuku Takeda
Purpose: The viscoelasticity (storage modulus and loss modulus) of living tissues is known to be related to diseases. Magnetic resonance elastography (MRE) is a quantitative method for non-invasive measuring viscoelastici...
Can machine learning-based analysis of multiparameter MRI and clinical parameters improve the performance of clinically significant prostate cancer diagnosis? [0.03%]
基于机器学习的多参数MRI和临床参数分析能否提高临床显著前列腺癌诊断的性能？
Tao Peng,JianMing Xiao,Lin Li et al.
Tao Peng et al.
Purpose: To establish machine learning(ML) models for the diagnosis of clinically significant prostate cancer (csPC) using multiparameter magnetic resonance imaging (mpMRI), texture analysis (TA), dynamic contrast-enhance...
Automatic and accurate needle detection in 2D ultrasound during robot-assisted needle insertion process [0.03%]
机器人辅助针刺过程中在2D超声中的自动且准确的针检测
Shihang Chen,Yanping Lin,Zhaojun Li et al.
Shihang Chen et al.
Purpose: Robot-assisted needle insertion guided by 2D ultrasound (US) can effectively improve the accuracy and success rate of clinical puncture. To this end, automatic and accurate needle-tracking methods are important f...
Shouhei Hanaoka,Takeshi Hara,Akinobu Shimizu
Shouhei Hanaoka