scholarly article | Q13442814 |
P50 | author | Sebastian Brandner | Q58333540 |
Sotirios Bisdas | Q61478650 | ||
Vasileios K. Katsaros | Q77708346 | ||
P2093 | author name string | Jianguo Zhang | |
George Stranjalis | |||
Steffi Thust | |||
Christos Boskos | |||
Haocheng Shen | |||
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P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 1 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | support vector machine | Q282453 |
P304 | page(s) | 6108 | |
P577 | publication date | 2018-04-17 | |
P1433 | published in | Scientific Reports | Q2261792 |
P1476 | title | Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a preliminary study | |
P478 | volume | 8 |
Q97646064 | A New Method Based on CEEMD Combined With Iterative Feature Reduction for Aided Diagnosis of Epileptic EEG |
Q97418633 | Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status |
Q60954430 | Role of diffusional kurtosis imaging in grading of brain gliomas: a protocol for systematic review and meta-analysis |
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