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Abstract #2895

nnFAE: An Extended Module for FeAture Explorer (FAE) for Radiomic Feature Processing

Yang Song1, Chengxiu Zhang2, Jing Zhang2, Shaoyu Wang1, Xu Yan1, Yefeng Yao2, and Guang Yang2
12. MR Scientific Marketing, Siemens Healthcare, Shanghai, China, 21. Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Software ToolsThe biological meaning, model robustness and the harmonization of the features are the focuses in the current radiomics development. We designed a software named nnFAE which extends the open-source FeatureExplorer (FAE) to extract habitats features using multi-parameter MR images, to extract robust features recommended by IBSI, and to harmonize features from multi-vendors, etc. nnFAE has a graphic user interface to process the images and feature matrix in batch and can be used readily in radiomics studies.

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