Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels

This paper presents a new, automatic method of accurately extracting lesions from CT data. It first determines, at each voxel, a five-dimensional (5D) feature vector that contains intensity, shape index, and 3D spatial location. Then, nonparametric mean shift clustering forms superpixels from these...

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Detalles Bibliográficos
Autores principales: Ye, Xujiong, Beddoe, Gareth, Slabaugh, Greg
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967838/
https://www.ncbi.nlm.nih.gov/pubmed/21052498
http://dx.doi.org/10.1155/2010/983963

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967838/
https://www.ncbi.nlm.nih.gov/pubmed/21052498
http://dx.doi.org/10.1155/2010/983963

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