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Journal of Imaging, Volume 10, Issue 11

November 2024 - 34 articles

Cover Story: Radiomics aids clinical decision making, but users need to switch between different software to complete the whole process. To address this issue, matRadiomics integrates the entire radiomics workflow into a single platform. This study extends its use to preclinical applications, being validated through a zebrafish case study on early malformation differentiation. Incorporating Pyradiomics for feature extraction, it employs machine learning models with k-fold cross-validation. The results highlight the challenges in feature extraction from high-resolution preclinical images and propose optimized settings to reduce computation time without compromising data integrity. SVM achieved the best performance, demonstrating the potential of matRadiomics to advance preclinical and translational research. View this paper
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J. Imaging - ISSN 2313-433X