Prediction of survival with multi-scale radiomic analysis in glioblastoma patients.
We propose a multiscale texture features based on Laplacian-of Gaussian (LoG) filter to predict progression free (PFS) and overall survival (OS) in patients newly diagnosed with glioblastoma (GBM). Experiments use the extracted features derived from 40 patients of GBM with T1-weighted imaging (T1-WI...
| Published in: | Medical & Biological Engineering & Computing Vol. 56; no. 12; pp. 2287 - 2301 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Dec2018
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| Online Access: | View this record in EBSCOhost |