Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from (18)F-FDG PET/CT images

BACKGROUND: This study aimed to compare one state-of-the-art deep learning method and four classical machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer (NSCLC) from (18)F-FDG PET/CT images. Another objective was to compare the discriminative powe...

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Detalles Bibliográficos
Autores principales: Wang, Hongkai, Zhou, Zongwei, Li, Yingci, Chen, Zhonghua, Lu, Peiou, Wang, Wenzhi, Liu, Wanyu, Yu, Lijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5272853/
https://www.ncbi.nlm.nih.gov/pubmed/28130689
http://dx.doi.org/10.1186/s13550-017-0260-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5272853/
https://www.ncbi.nlm.nih.gov/pubmed/28130689
http://dx.doi.org/10.1186/s13550-017-0260-9

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