Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer

<div>Example of Coarse-to-Fine segmentation of the deep learning segmentation model on DCE-MRI. (a) A DCE-MRI of a 57-year-old woman with TNBC on the third DCE phase. (b) Coarse segmentation (Mask 1, red) of bilateral breasts. (c) Fine segmentation (Mask 2, green) of the breast tumor. (DCE-MRI: dynamic contrast-enhanced magnetic resonance imaging; TNBC: triple-negative breast cancer.).</div>

Computational and Mathematical Methods in Medicine

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Figure 2: Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer 