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1 Ergebnisse
1
Machine-Learning-Based Radiomics for Classifying Glioma Gra..:
Kumar, Anuj
;
Jha, Ashish Kumar
;
Agarwal, Jai Prakash
...
https://discovery.ucl.ac.uk/id/eprint/10171860/1/jpm-13-00920-v2.pdf. , 2023
Link:
https://discovery.ucl.ac.uk/id/eprint/10171860/1/jpm-1..
RT Journal T1
Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain
UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:10171860&Exemplar=1&LAN=DE A1 Kumar, Anuj A1 Jha, Ashish Kumar A1 Agarwal, Jai Prakash A1 Yadav, Manender A1 Badhe, Suvarna A1 Sahay, Ayushi A1 Epari, Sridhar A1 Sahu, Arpita A1 Bhattacharya, Kajari A1 Chatterjee, Abhishek A1 Ganeshan, Balaji A1 Rangarajan, Venkatesh A1 Moyiadi, Aliasgar A1 Gupta, Tejpal A1 Goda, Jayant S PB MDPI AG YR 2023 K1 glioma grade K1 radiomics K1 machine learning K1 classifiers JF https://discovery.ucl.ac.uk/id/eprint/10171860/1/jpm-13-00920-v2.pdf LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/10171860/1/jpm-13-00920-v2.pdf DO https://discovery.ucl.ac.uk/id/eprint/10171860/1/jpm-13-00920-v2.pdf SF ELIB - SuUB Bremen
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