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Background
Assessment of lymphovascular invasion (LVI) in breast cancer (BC) primarily relies on preoperative needle biopsy. There is an urgent need to develop a non‐invasive assessment method.
Purpose
To develop an effective model to assess the LVI status in patients with BC using magnetic resonance imaging morphological features (MRI‐MF), Radiomics, and deep learning (DL) approaches based on...