Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.

Yoon Seong ChoiSung Soo AhnJong Hee ChangSeok-Gu KangEui Hyun KimSe Hoon KimRajan JainSeung-Koo Lee

Published in: European radiology (2020)

• Radiomics analysis with machine learning can improve survival prediction over the non-imaging factors (clinical and molecular profiles) for lower grade gliomas, across different institutions.

Keyphrases

machine learning
high grade
artificial intelligence
high resolution
big data
free survival
high throughput
lymph node metastasis
deep learning
contrast enhanced
photodynamic therapy
data analysis