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Date of Publication:2024-12-20

Journal:Biomedical Signal Processing and Control

Volume:93

ISSN No.:1746-8094

Key Words:Article; Attention mechanisms; breast cancer; Breast Cancer; cancer patient; cancer staging; Chemotherapy; cohort analysis; Complete response; controlled study; cross validation; deep learning; diffusion weighted imaging; Diseases; dynamic contrast-enhanced magnetic resonance imaging; epidermal growth factor receptor 2; estrogen receptor; feature selection; Forecasting; human; image segmentation; Joint learning; Ki 67 antigen; Learning systems; major clinical study; Medical imaging; MR-images; multimodal imaging; multiparametric magnetic resonance imaging; Neoadjuvant chemotherapies; neoadjuvant chemotherapy; nuclear magnetic resonance imaging; pathological complete response; Pathological complete response; prediction; progesterone receptor; radiochemistry; radiomics; retrospective study; Semi-supervised; Semi-supervised learning; semi supervised machine learning; Supervised learning; support vector machine; T1 weighted imaging; T2 weighted imaging; treatment response; Tumors; Weakly supervised learning