Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software

OBJECTIVE: The purpose of this study was to evaluate the reliability and quality of radiomic features in glioblastoma multiforme (GBM) derived from tumor volumes obtained with semi-automated tumor segmentation software. MATERIALS AND METHODS: MR images of 45 GBM patients (29 males, 16 females) were...

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Detalles Bibliográficos
Autores principales: Lee, Myungeun, Woo, Boyeong, Kuo, Michael D., Jamshidi, Neema, Kim, Jong Hyo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2017
Materias:
Experiment, Engineering, and Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390619/
https://www.ncbi.nlm.nih.gov/pubmed/28458602
http://dx.doi.org/10.3348/kjr.2017.18.3.498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390619/
https://www.ncbi.nlm.nih.gov/pubmed/28458602
http://dx.doi.org/10.3348/kjr.2017.18.3.498

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