ORIGINAL RESEARCH
Accepted on 15 May 2025
Intra- and Peritumoral Radiomics Nomogram Based on DCE-MRI for the Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
doi 10.3389/fonc.2025.1561599
- Frontiers in Oncology
- Breast Cancer
- Research Topics
- Advancing Breast Cancer Care Through Transparent AI and Federated Learning: Integrating Radiological, Histopathological, and Clinical Data for Diagnosis, Recurrence Prediction, and Survivorship
Advancing Breast Cancer Care Through Transparent AI and Federated Learning: Integrating Radiological, Histopathological, and Clinical Data for Diagnosis, Recurrence Prediction, and Survivorship
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Articles
ORIGINAL RESEARCH
Published on 14 May 2025
Personalized prediction of breast cancer candidates for Anti-HER2 therapy using 18F-FDG PET/CT parameters and machine learning: a dual-center study
doi 10.3389/fonc.2025.1590769
- 317 views
REVIEW
Published on 08 May 2025
Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review
doi 10.3389/fonc.2025.1578991
- 1,258 views
ORIGINAL RESEARCH
Published on 16 Apr 2025
Intratumoral and peritumoral radiomics based on automated breast volume scanner for predicting human epidermal growth factor receptor 2 status
doi 10.3389/fonc.2025.1556317
- 722 views
METHODS
Published on 08 Apr 2025
Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention
doi 10.3389/fonc.2025.1567577
- 612 views
Published in
Frontiers in Oncology
Breast Cancer
Participating Journals
Frontiers in Digital Health
- 3.2 impact factor
- 4.2 citescore
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