2/15/2023 0 Comments Osirix dicom obelixThey are used primarily for segmentation of particular organs and tissues. Semi-automatic or supervised segmentation technologies require interaction with the expert. The application area of atlas-based methods is limited due to lack of the specialized presegmented atlases. Thus, the atlas-based approach requires a huge amount of expert segmentation for preparation of atlases and development of algorithms dealing with big data. This atlas should contain enough different cases for accurate mapping of the new patient data. The patient-specific segmentation is obtained from the atlas of presegmented images of other individuals. The most promising fully automatic segmentation methods belong to the class of atlas-based segmentation techniques. Various medical image segmentation techniques have been developed. Each biomedical application imposes specific restrictions on both the input medical images and the output patient-specific model, and, therefore, calls for a specific class of 3D segmentation methods. The cornerstone of medical image processing is the segmentation process that assigns labels to the voxels.
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