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Overview of the whole heart and heart chamber segmentation methods
Background Preservation and improvement of heart and vessel health is the primary
motivation behind cardiovascular disease (CVD) research. Development of advanced …
motivation behind cardiovascular disease (CVD) research. Development of advanced …
Benchmark for algorithms segmenting the left atrium from 3D CT and MRI datasets
Knowledge of left atrial (LA) anatomy is important for atrial fibrillation ablation guidance,
fibrosis quantification and biophysical modelling. Segmentation of the LA from Magnetic …
fibrosis quantification and biophysical modelling. Segmentation of the LA from Magnetic …
3D printing of cardiac structures from medical images: an overview of methods and interactive tools
The percutaneous interventions in the treatment of structural heart diseases represent
nowadays a viable option for patients at high risk for surgery. However, unlike during the …
nowadays a viable option for patients at high risk for surgery. However, unlike during the …
Fully automated segmentation of the left atrium, pulmonary veins, and left atrial appendage from magnetic resonance angiography by joint‐atlas‐optimization
Purpose Atrial fibrillation (AF) originating from the left atrium (LA) and pulmonary veins (PVs)
is the most prevalent cardiac electrophysiological disorder. Accurate segmentation and …
is the most prevalent cardiac electrophysiological disorder. Accurate segmentation and …
Left atrium segmentation in CT volumes with fully convolutional networks
Automatic segmentation of the left atrium (LA) is a fundamental task for atrial fibrillation
diagnosis and computer-aided ablation operation support systems. This paper presents an …
diagnosis and computer-aided ablation operation support systems. This paper presents an …
A combined random forests and active contour model approach for fully automatic segmentation of the left atrium in volumetric MRI
Segmentation of the left atrium (LA) from cardiac magnetic resonance imaging (MRI)
datasets is of great importance for image guided atrial fibrillation ablation, LA fibrosis …
datasets is of great importance for image guided atrial fibrillation ablation, LA fibrosis …
Radiofrequency ablation planning for cardiac arrhythmia treatment using modeling and machine learning approaches
RC Lozoya - 2015 - theses.hal.science
Cardiac arrhythmias are heart rhythm disruptions which can lead to sudden cardiac death.
They require a deeper understanding for appropriate treatment planning. In this thesis, we …
They require a deeper understanding for appropriate treatment planning. In this thesis, we …
Neural network based whole heart segmentation from 3D CT images
Sažetak The most recent research is showing the importance and suitability of neural
networks for medical image processing tasks. Nonetheless, their efficiency in segmentation …
networks for medical image processing tasks. Nonetheless, their efficiency in segmentation …
[PDF][PDF] 基于级联随机森林与活动轮廓的 3D MR 图像分割
马超， 刘亚淑， 骆功宁， 王宽全 - 自动化学报, 2019 - aas.net.cn
摘要针对医学磁共振(Magnetic resonance, MR) 图像三维分割中随机森林(Random forest, RF)
方法难以获得具有几何约束的结果以及活动轮廓模型(Active contour model, ACM) …
方法难以获得具有几何约束的结果以及活动轮廓模型(Active contour model, ACM) …
Machine learning for simplifying the use of cardiac image databases
J Margeta - 2015 - pastel.hal.science
The recent growth of data in cardiac databases has been phenomenal. Cleveruse of these
databases could help find supporting evidence for better diagnosis and treatment planning …
databases could help find supporting evidence for better diagnosis and treatment planning …