![]() ![]() Experiments show that the proposed method results in a more robust segmentation that can grow into the smaller airway branches without leaking into emphysematous areas, and is able to segment many branches that are not present in the training set.ĪB - This paper presents a voxel classification based method for segmenting the human airway tree in volumetric computed tomography (CT) images. The classifier is trained on imperfect segmentations that can easily be obtained using region growing with a manual threshold selection. ![]() The use of multiple features enables the appearance model to differentiate between airway tree voxels and other voxels of similar intensities in the lung, thus making the segmentation robust to pathologies such as emphysema. The optimal set of features for classification is selected automatically from a large set of features describing the local image structure at several scales. In contrast to standard methods that use only voxel intensities, our method uses a more complex appearance model based on a set of local image appearance features and K-th nearest neighbor (KNN) classification. N2 - This paper presents a voxel classification based method for segmenting the human airway tree in volumetric computed tomography (CT) images. T1 - Voxel classification based airway tree segmentation - art. Experiments show that the proposed method results in a more robust segmentation that can grow into the smaller airway branches without leaking into emphysematous areas, and is able to segment many branches that are not present in the training set.", Experiments show that the proposed method results in a more robust segmentation that can grow into the smaller airway branches without leaking into emphysematous areas, and is able to segment many branches that are not present in the training set.Ībstract = "This paper presents a voxel classification based method for segmenting the human airway tree in volumetric computed tomography (CT) images. This paper presents a voxel classification based method for segmenting the human airway tree in volumetric computed tomography (CT) images. ![]()
0 Comments
Leave a Reply. |