ORIGINAL RESEARCH
Published on 08 Oct 2025
Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes
doi 10.3389/fonc.2025.1558880
- 472 views
- 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 16 Sep 2025
Predicting molecular subtype in breast cancer using deep learning on mammography images
doi 10.3389/fonc.2025.1638212
- 2,548 views
ORIGINAL RESEARCH
Accepted on 15 Sep 2025
Predicting Axillary Lymph Node Metastasis in Breast Cancer Using Ultrasound and Machine Learning with SHAP
doi 10.3389/fonc.2025.1619642
- 180 views
ORIGINAL RESEARCH
Published on 15 Sep 2025
Advancing breast cancer relapse prediction with radiomics and neural networks: a clinically interpretable framework
doi 10.3389/fonc.2025.1593806
- 950 views
ORIGINAL RESEARCH
Published on 28 Aug 2025
Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging
doi 10.3389/fonc.2025.1592521
- 1,208 views
ORIGINAL RESEARCH
Published on 17 Jul 2025
CLGB-Net: fusion network for identifying local and global information of lesions in digital mammography images
doi 10.3389/fonc.2025.1600057
- 794 views
ORIGINAL RESEARCH
Published on 24 Jun 2025
Deep learning-based risk stratification of ductal carcinoma in situ using mammography and abbreviated breast magnetic resonance imaging
doi 10.3389/fonc.2025.1587882
- 1,251 views
ORIGINAL RESEARCH
Published on 04 Jun 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
- 1,578 views
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
- 1,074 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
- 3,058 views
- 1 citation
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
- 1,346 views
- 1 citation
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
- 1,537 views
- 1 citation
Published in
Frontiers in Oncology
Breast Cancer
Participating Journals
Frontiers in Digital Health
- 3.8 impact factor
- 6.3 citescore
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