MRI Radiomics of Breast Cancer: Machine Learning-Based Prediction of Lymphovascular Invasion Status
Author
Ucar, Nese
Bektas, Sibel
Kocak, Burak
Akan, Yesim Namdar
Yildirim, Emine
KAYADİBİ, YASEMİN
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Rationale and Objectives: In patients with breast cancer (BC), lymphovascular invasion (LVI) status is considered an important prognostic factor. We aimed to develop machine learning (ML)-based radiomics models for the prediction of LVI status in patients with BC, using preoperative MRI images.
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