Concepedia

Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma

Masataka Nakagawa, Takeshi Nakaura, Tomohiro Namimoto, Mika Kitajima, Hiroyuki Uetani, Machiko Tateishi, Seitaro Oda, Daisuke Utsunomiya, Keishi Makino, Hideo Nakamura,

European Journal of Radiology · 2018 · 52 citations · 28 references

DOI

Concepts

References

28

XGBoost

2016 · 48.6K citations · Full text

, , +15

XGBoost: A Scalable Tree Boosting System

arXiv (Cornell University) · 2016 · 7.1K citations · Full text

, , +16

Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice?

F. Davnall, Connie Yip, Gunnar Ljungqvist et al. · Insights into Imaging · 2012 · 878 citations · Full text

, , +16

Primary intracerebral malignant lymphoma: report of 248 cases

B. Bataille, Vincent Delwail, Emmanuelle Menet et al. · Journal of neurosurgery · 2000 · 595 citations

, , +16

Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships

Robert P. Sheridan, Wei Min Wang, Andy Liaw et al. · Journal of Chemical Information and Modeling · 2016 · 534 citations

, , +17