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Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software.
Lee, Myungeun; Woo, Boyeong; Kuo, Michael D; Jamshidi, Neema; Kim, Jong Hyo.
Affiliation
  • Lee M; Center for Medical-IT Convergence Technology Research, Advanced Institutes of Convergence Technology, Seoul National University, Suwon 16229, Korea.
  • Woo B; Department of Radiology, Seoul National University Hospital, Seoul 03080, Korea.
  • Kuo MD; Department of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon 16229, Korea.
  • Jamshidi N; Department of Electronic and Computer Engineering, National Chiao Tung University, Hsinchu 300, Taiwan.
  • Kim JH; Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Korean J Radiol ; 18(3): 498-509, 2017.
Article in En | MEDLINE | ID: mdl-28458602
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Glioblastoma Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Korean J Radiol Journal subject: RADIOLOGIA Year: 2017 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Glioblastoma Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Korean J Radiol Journal subject: RADIOLOGIA Year: 2017 Document type: Article Country of publication: