Prof. Zhenfeng Zhang Profile

Prof. Zhenfeng Zhang

at Second Affiliated Hospital of Guangzhou Medical Univ

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Author

Publications (4)

Proceedings Article | 16 March 2020 Paper

Siamese neural networks for the classification of high-dimensional radiomic features

Abhishaike Mahajan, James Dormer, Qinmei Li, Deji Chen, Zhenfeng Zhang, Baowei Fei

Proceedings Volume 11314, 113143Q (2020) https://doi.org/10.1117/12.2549389

KEYWORDS: Inflammation, Neural networks, Breast cancer, Data modeling, Magnetic resonance imaging, Cancer, Medical imaging, Tumor growth modeling, Feature extraction, Network architectures

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Proceedings Article | 13 March 2019 Paper

Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women

Qinmei Li, James Dormer, Priyanka Daryani, Deji Chen, Zhenfeng Zhang, Baowei Fei

Proceedings Volume 10950, 1095044 (2019) https://doi.org/10.1117/12.2512056

KEYWORDS: Breast cancer, Magnetic resonance imaging, Tumors, Feature extraction, Wavelets, Breast, Diagnostics, Medical imaging, Radiology

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Proceedings Article | 8 March 2019 Paper

A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling

Maysam Shahedi, Martin Halicek, Qinmei Li, Lizhi Liu, Zhenfeng Zhang, Sadhna Verma , David Schuster, Baowei Fei

Proceedings Volume 10951, 109512I (2019) https://doi.org/10.1117/12.2512282

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, Image processing algorithms and systems, 3D image processing, 3D modeling, Feature extraction, Image classification, Statistical modeling, Shape analysis

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SPIE Journal Paper | 17 January 2018 Open Access

PSNet: prostate segmentation on MRI based on a convolutional neural network

Zhiqiang Tian, Lizhi Liu, Zhenfeng Zhang, Baowei Fei

JMI, Vol. 5, Issue 02, 021208, (January 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.2.021208

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, Convolutional neural networks, Data modeling, Medical imaging, Prostate cancer, Image classification, Magnetism, Ultrasonography

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