Segmentation of pulmonary nodules using adaptive local region energy with probability density function-based similarity distance and multi-features clustering.
Background: Pulmonary nodules in computerized tomography (CT) images are potential manifestations of lung cancer. Segmentation of potential nodule objects is the first necessary and crucial step in computer-aided detection system of pulmonary nodules. The segmentation of various types of nodules, es...
| Publicado en: | BioMedical Engineering OnLine Vol. 15; pp. 49 - 50 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
5/5/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |