Domain generalization for mammographic image analysis with contrastive learning.
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Comput. Biol. Medicine, 2025
Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer.
BMC Medical Imaging, December, 2024
Domain Generalization for Mammographic Image Analysis via Contrastive Learning.
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CoRR, 2023
Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features.
IEEE J. Biomed. Health Informatics, 2022
Application of Image Segmentation and Convolutional Neural Network in Classification Algorithms for Mammary X-ray Molybdenum Target Image.
Proceedings of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2020
Segmentation of mass in mammograms by a novel integrated active contour method.
Int. J. Comput. Sci. Eng., 2015
Fully automated quantitative analysis of breast cancer risk in DCE-MR images.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Fully automated segmentation of whole breast in MR images by use of dynamic programming.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Breast segmentation in MR images using three-dimensional spiral scanning and dynamic programming.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013