Radiomics in breast cancer: Current advances and future directions

YJ Qi, GH Su, C You, X Zhang, Y **ao, YZ Jiang… - Cell Reports …, 2024 - cell.com
Breast cancer is a common disease that causes great health concerns to women worldwide.
During the diagnosis and treatment of breast cancer, medical imaging plays an essential …

Vision transformer-based multimodal fusion network for classification of tumor malignancy on breast ultrasound: A retrospective multicenter study

M Li, Y Fang, J Shao, Y Jiang, G Xu, X Cui… - International Journal of …, 2025 - Elsevier
Background In the context of routine breast cancer diagnosis, the precise discrimination
between benign and malignant breast masses holds utmost significance. Notably, few prior …

Photoacoustic Imaging with Attention-Guided Deep Learning for Predicting Axillary Lymph Node Status in Breast Cancer

G Li, S Tang, Z Huang, M Wang, H Tian, H Wu, S Mo… - Academic …, 2025 - Elsevier
Rationale and Objectives Preoperative assessment of axillary lymph node (ALN) status is
essential for breast cancer management. This study explores the use of photoacoustic (PA) …

An XGBoost Machine Learning Based Model for Predicting Ki-67 Value ≥ 15% in T2NXM0 Stage Primary Breast Cancer Receiving Neoadjuvant Chemotherapy …

Y Lu, F Yang, Y Tao, P An - Technology in Cancer Research …, 2024 - journals.sagepub.com
Objective: To establish a model based on clinical and delta-radiomic features within
ultrasound images using XGBoost machine learning to predict proliferation-associated …

Graph-Based Multi-Modality Network for Axillary Lymph Node Metastasis Prediction in Early-Stage Breast Cancer

Y **a, N Qu, Y Lin, W Zhao, F Teng, Y Chang… - Available at SSRN … - papers.ssrn.com
Abstract Background and Objective: Accurate evaluation of the axillary lymph node (ALN)
status in early-stage breast cancer is crucial for prognosis and guiding treatment decisions …