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Prof. Peng Zhang
at Hangzhou Dianzi Univ
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Author
Publications (5)
Proceedings Article | 15 March 2019 Paper
Heterogeneity of tumor and its surrounding stroma on DCE-MRI and diffusion weighted imaging in predicting histological grade and lymph node status of breast cancer
Proceedings Volume 10954, 109541G (2019) https://doi.org/10.1117/12.2513095
KEYWORDS: Tumors, Lymphatic system, Breast cancer, Diffusion weighted imaging, Image analysis, Statistical analysis, Magnetic resonance imaging, Feature extraction, Breast
Proceedings Article | 13 March 2019 Presentation + Paper
DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer
Proceedings Volume 10950, 109500H (2019) https://doi.org/10.1117/12.2513102
KEYWORDS: Tumors, Breast cancer, Magnetic resonance imaging, Breast, Feature extraction, Image segmentation, Content addressable memory, Lithium, Medicine, Fluctuations and noise
Proceedings Article | 6 March 2018 Presentation + Paper
Quantitative diffusion weighted imaging parameters in tumor and peritumoral stroma for prediction of molecular subtypes in breast cancer
Ting He, Ming Fan, Peng Zhang, Hui Li, Juan Zhang, Guoliang Shao, Lihua Li
Proceedings Volume 10579, 105790P (2018) https://doi.org/10.1117/12.2293049
KEYWORDS: Tumors, Breast cancer, Diffusion weighted imaging, Breast, Image segmentation, Statistical analysis, Cancer, Magnetic resonance imaging, Image analysis, Diffusion
Proceedings Article | 6 March 2018 Presentation + Paper
Analysis of DCE-MRI features in tumor and the surrounding stroma for prediction of Ki-67 proliferation status in breast cancer
Hui Li, Ming Fan, Peng Zhang, Yuanzhe Li, Hu Cheng, Juan Zhang, Guoliang Shao, Lihua Li
Proceedings Volume 10579, 1057907 (2018) https://doi.org/10.1117/12.2293047
KEYWORDS: Tumors, Breast cancer, Breast, Tissues, Magnetic resonance imaging, Feature extraction, Image segmentation, Lithium, Statistical analysis, Performance modeling
Proceedings Article | 6 March 2018 Presentation + Paper
Intratumor heterogeneity of DCE-MRI reveals Ki-67 proliferation status in breast cancer
Hu Cheng, Ming Fan, Peng Zhang, Bin Liu, Guoliang Shao, Lihua Li
Proceedings Volume 10579, 1057906 (2018) https://doi.org/10.1117/12.2293042
KEYWORDS: Tumors, Breast cancer, Targeting Task Performance metric, Magnetic resonance imaging, Feature extraction, Statistical analysis, Image segmentation, Cancer, Breast, Analytical research
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