Identification of optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition‐based radiomic features
Overall scheme for modelling the shape variations associated with liver fibrosis stage and predicting it fromMR images by using PLSR-based shape features (scores)
Abstract
Purpose- To identify the optimal mother wavelets in survival prediction of lung cancer patients using wavelet decomposition-based (WDB) radiomic features in CT images.
Type
Publication
Medical Physics
Mazen Soufi
Assistant Professor
I’m an assistant professor in the Division of Information Science at NAIST, and I apply data-driven approaches to model disease progression from large-scale databases of medical images.