Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI

OBJECTIVE: We aimed to propose an automatic method based on Support Vector Machine (SVM) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to segment the tumor lesions of head and neck cancer (HNC). MATERIALS AND METHODS: 120 DCE-MRI samples were collected. Five curve features and t...

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Detalles Bibliográficos
Autores principales: Deng, Wei, Luo, Liangping, Lin, Xiaoyi, Fang, Tianqi, Liu, Dexiang, Dan, Guo, Chen, Hanwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632988/
https://www.ncbi.nlm.nih.gov/pubmed/29114180
http://dx.doi.org/10.1155/2017/8612519

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632988/
https://www.ncbi.nlm.nih.gov/pubmed/29114180
http://dx.doi.org/10.1155/2017/8612519

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