Design of MATLAB-based Radiomics Classifier Training Simulator Powered by Pyradiomics

Muhammed Selman Erel; Hadeel Aljobouri; Esra şengün Ermeydan; Ilyas çankaya

doi:10.29194/NJES.27020185

Authors

Muhammed Selman Erel Electrical and Electronics Engineering Department, Graduate School of Natural Science, Ankara Yıldırım Beyazıt University, 06010 Ankara, Turkey
Hadeel Aljobouri Department of Biomedical Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq.
Esra şengün Ermeydan Electrical and Electronics Engineering Department, Graduate School of Natural Science, Ankara Yıldırım Beyazıt University, 06010 Ankara, Turkey.
Ilyas çankaya Electrical and Electronics Engineering Department, Graduate School of Natural Science, Ankara Yıldırım Beyazıt University, 06010 Ankara, Turkey

DOI:

https://doi.org/10.29194/NJES.27020185

Keywords:

GUI, LUNG1, MATLAB, Machine Learning, Radiomics, TCIA

Abstract

Technically, medical imaging modalities are quantitative, qualitative, and semi-quantitative. Such modalities can generate meaningful and valuable quantitative and qualitative data. Correlating predictive outcomes with quantitative and qualitative data is a difficult process. Thanks to modern computational hardware and advanced machine learning algorithms, it is not a demanding job to perform predictive analysis by cultivating quantitative and qualitative data. Radiomics is a popular topic that studies quantitative data from medical images in order to obtain biologically meaningful information for diagnosis, prognosis, theragnosis, and decision support. Handcrafted radiomics is a process including features based on shape, pixel, and texture-related knowledge from medical scans. In the pursuit of advancing the field of radiomics, we have developed a cutting-edge radiomics training simulator, powered by MATLAB. This tool has been designed for those familiar with MATLAB, making it easy for them to transition into the fascinating world of radiomics. MATLAB's user-friendly interface and strong support in the engineering community provide an ideal platform for this simulator, ensuring aspiring radiomics learners have access to the resources they need for success. Throughout the paper, purpose, design details and methodology of the simulator are described.

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