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. 2021 Sep 15;11(9):1686. doi: 10.3390/diagnostics11091686

Figure 2.

Figure 2

Computational pipeline for radiomics analysis and machine learning model development. The process starts with image acquisition and segmentation of the femoral head and neck (1) followed by radiomics analysis (2) consisting of feature extraction and data preprocessing in preparation for subsequent model development (3). Three machine learning algorithms (XGboost, CatBoost and SVM) were trained and validated with multivendor data and their performance was compared to that of expert readers. TOH: Transient Osteoporosis of the Hip; AVN: Avascular Necrosis; STIR: Short Tau Inversion Recovery; LoG: Laplacian of Gaussian; SVM: Support Vector Machine (created with BioRender.com, date last accessed: 15 September 2021).