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Tumor segmentation via enhanced area growth algorithm for lung CT images
BACKGROUND: Since lung tumors are in dynamic conditions, the study of tumor growth and its changes is of great importance in primary diagnosis. METHODS: Enhanced area growth (EAG) algorithm is introduced to segment the lung tumor in 2D and 3D modes on 60 patients CT images from four different databa...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662793/ https://www.ncbi.nlm.nih.gov/pubmed/37986046 http://dx.doi.org/10.1186/s12880-023-01126-y |