International audience<p>We present a new method for the segmentation of multipleorgans (2D or 3D) which enables user inputs for smart contour editing.By extending the work of [1] with user-provided hard constraints thatcan be optimized globally or locally, we propose an efficient and user-friendly solution that ensures consistent feedback to the user interactions.We demonstrate the potential of our approach through a user studywith 10 medical imaging experts, aiming at the correction of 4 organsegmentations in 10 CT volumes.We provide quantitative and qualitativeanalysis of the users' feedback.</p
Image segmentation i.e. dividing an image into regions and categories is a classic yet still challen...
Deformable models are widely used for image segmentation, most commonly to find single objects withi...
The segmentation of tomographic image data is an important prerequisite for a meaningful visualizati...
Segmentation techniques based on active contours algorithm are widely used in medical imaging. Unfor...
Extracting anatomical and functional significant structures renders one of the important tasks for b...
International audienceWe propose an automatic multiorgan segmentation method for 3D radiological ima...
We describe an algorithm for 3D interactive image segmenta- tion by non-rigid implicit template defo...
In this work, a Multi-Layer Deformable Model (MLDM) for medical image segmentation is proposed. In c...
In this work, a Multi-Layer Deformable Model (MLDM) for medical image segmentation is proposed. In c...
Abstract. We present a novel generic segmentation system for the fully automatic multi-organ segment...
This paper presents a novel approach for image segmentation by introducing competition between neigh...
Abstract—In this paper, we propose an approach for automatic organ segmentation in Computed Tomograp...
(Communicated by Yang Kuang) Abstract. We present a new algorithm for segmenting organs in CT scans ...
This paper presents a pipeline which uses a multiatlas approach for multiorgan segmentation in whole...
"Available online 2 February 2018"Anatomical evaluation of multiple abdominal and thoracic organs is...
Image segmentation i.e. dividing an image into regions and categories is a classic yet still challen...
Deformable models are widely used for image segmentation, most commonly to find single objects withi...
The segmentation of tomographic image data is an important prerequisite for a meaningful visualizati...
Segmentation techniques based on active contours algorithm are widely used in medical imaging. Unfor...
Extracting anatomical and functional significant structures renders one of the important tasks for b...
International audienceWe propose an automatic multiorgan segmentation method for 3D radiological ima...
We describe an algorithm for 3D interactive image segmenta- tion by non-rigid implicit template defo...
In this work, a Multi-Layer Deformable Model (MLDM) for medical image segmentation is proposed. In c...
In this work, a Multi-Layer Deformable Model (MLDM) for medical image segmentation is proposed. In c...
Abstract. We present a novel generic segmentation system for the fully automatic multi-organ segment...
This paper presents a novel approach for image segmentation by introducing competition between neigh...
Abstract—In this paper, we propose an approach for automatic organ segmentation in Computed Tomograp...
(Communicated by Yang Kuang) Abstract. We present a new algorithm for segmenting organs in CT scans ...
This paper presents a pipeline which uses a multiatlas approach for multiorgan segmentation in whole...
"Available online 2 February 2018"Anatomical evaluation of multiple abdominal and thoracic organs is...
Image segmentation i.e. dividing an image into regions and categories is a classic yet still challen...
Deformable models are widely used for image segmentation, most commonly to find single objects withi...
The segmentation of tomographic image data is an important prerequisite for a meaningful visualizati...