Publication
Performance of MRI-based deep learning models in differentiation of triple negative breast cancer from other breast cancer subtypes: A systematic review and meta-analysis.
Saeed Mohammadzadeh, Iman Kiani, Seyed Amir Mohammad Seyed Rahmani, Moein Mirzai, Mohammadreza Elhaie, Mahsa Esmaeili Dahaj, Mohammad Rahimi, Morteza Mosadegh, Sajjad Mohammadzadeh, Masoumeh Gity
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- PubMed
- Retrieved
- Sep 19, 2026
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- normalized (units and labels harmonized; values unchanged)
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- ING-PUBMED-20260919-000001
Abstract
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BACKGROUND AND AIM: Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited targeted therapies. Deep learning (DL) applied to magnetic resonance imaging (MRI) offers a promising noninvasive alternative to biopsy. This systematic review and meta‑analysis aimed to…
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- cancerMalignant Breast Neoplasmdictionary0.60
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