Abstract

Info

Title:: Design of a software for multimodal radiomics features mining and analysis based on artificial intelligence

Author(s):: CHEN Ye; LI Hanwei; HU Debin; QI Hongliang; CHEN Hongwen; Department of Medical Engineering, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China

Keywords:: Keywords: radiomics artificial intelligence software design binary classification

Abstract:: Abstract: Various types of software needed in radiomics studies come with the problems such as data incompatibility and hyperparameter tuning. Therefore, an artificial intelligence-based software is developed for radiomics studies, providing doctors and researchers a solution with image preprocessing, feature extraction, feature selection, modeling analysis and data visualization. The usability of the software is demonstrated using a public data set. Eight sets of feature selectors and classifiers are established for classification predication on test data set and key performance indicator output. Through hyperparameter tuning, the model is further optimized. Researchers will focus more on the research itself rather than unnecessary development efforts, and radiomics studies will become more convenient and efficient with the software addressed.