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Machine learning on MRI radiomic features: identification of molecular subtype alteration in breast cancer after neoadjuvant therapy.

Hai-Qing LiuSi-Ying LinYi-Dong SongSi-Yao MaiYue-Dong YangKai ChenZhuo WuHui-Ying Zhao
Published in: European radiology (2022)
• Machine learning models using MRI-based radiomics signature have the ability to predict molecular subtype alterations in breast cancer after neoadjuvant therapy, which subsequently affect treatment protocols. • The application of deep learning in the automatic segmentation of breast cancer lesions from MRI images shows the potential to replace manual segmentation..
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