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Machine Learning Model to Predict Pseudoprogression versus Progression in Glioblastoma: A Multi-institutional Study (KROG 18-07)

Authors
Jang, BS[Jang, B. S.]Park, AJ[Park, A. J.]Jeon, SH[Jeon, S. H.]Kim, IH[Kim, I. H.]Lim, DH[Lim, D. H.]Park, SH[Park, S. H.]Lee, JH[Lee, J. H.]Chang, JH[Chang, J. H.]Cho, KH[Cho, K. H.]Kim, JH[Kim, J. H.]Sunwoo, L[Sunwoo, L.]Choi, SH[Choi, S. H.]Kim, IA[Kim, I. A.]
Issue Date
1-Nov-2020
Publisher
ELSEVIER SCIENCE INC
Citation
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, v.108, no.3, pp.E742 - E744
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Volume
108
Number
3
Start Page
E742
End Page
E744
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/93584
ISSN
0360-3016
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