Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model.
Journal:
Frontiers in immunology
PMID:
39735531
Abstract
OBJECTIVE: To explore the value of combined radiomics and deep learning models using different machine learning algorithms based on mammography (MG) and magnetic resonance imaging (MRI) for predicting axillary lymph node metastasis (ALNM) in breast cancer (BC). The objective is to provide guidance for developing scientifically individualized treatment plans, assessing prognosis, and planning preoperative interventions.