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Domain Generalization for Mammographic Image Analysis via Contrastive Learning.

, , , , , , , , , , , , , и . CoRR, (2023)

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Xuewu Gu

Hyosong Gu

Jie Gu

Xiaogang Gu

Wei Gu

 

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Fully automated segmentation of whole breast in MR images by use of dynamic programming., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9035 из SPIE Proceedings, стр. 90350W. SPIE, (2014)Application of Image Segmentation and Convolutional Neural Network in Classification Algorithms for Mammary X-ray Molybdenum Target Image., , , , , и . MICAD, том 633 из Lecture Notes in Electrical Engineering, стр. 175-187. Springer, (2020)Fully automated quantitative analysis of breast cancer risk in DCE-MR images., , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94141Y. SPIE, (2015)Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features., , , , , , , , , и . IEEE J. Biomed. Health Informatics, 26 (7): 3059-3067 (2022)Breast segmentation in MR images using three-dimensional spiral scanning and dynamic programming., , , и . Medical Imaging: Computer-Aided Diagnosis, том 8670 из SPIE Proceedings, стр. 86701D. SPIE, (2013)Domain Generalization for Mammographic Image Analysis via Contrastive Learning., , , , , , , , , и 4 other автор(ы). CoRR, (2023)Diagnostic performance characteristics of Chinese radiologists in breast cancer detection with FFDM versus DBT images., , , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 12467 из SPIE Proceedings, SPIE, (2023)