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  1. 1
    Identification of microscopy cell images by using convolutional neural network application /
    by Norfatin Farisya Ajis
    Published 2020
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  2. 2
    Molecular and structural monitoring of epithelial mesenchymal in breast tissue /
    by Siti Norbaini Sabtu
    Published 2021
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  3. 3
    Application of data science techniques for prognostication of breast cancer : Malaysian patients as case study /
    by Mogana Darshini Ganggayah
    Published 2021
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  4. 4
    Deep learning-based breast cancer detection and classification using histopathology images /
    by Murtaza, Ghulam
    Published 2021
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  5. 5
    Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis /
    by Pang, Ting
    Published 2022
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  6. 6
    Study of permittivities of saliva and urine to classify breast carcinoma /
    by Olusola, Ibitoye Morufu
    Published 2011
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  7. 7
    Study of permittivity of saliva and urine to classify different stages of breast carcinoma /
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  8. 8
    Effect of breast cancer on the permittivity of saliva /
    by Fatin Nadhirah A Halim
    Published 2011
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  9. 9
    Effect of breast cancer on the permittivity of urine /
    by Arjimand, Elnaz Sadat
    Published 2011
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  10. 10
    The application of image processing and machine learning techniques in the detection and classification of cancerous tissues in digital mammograms /
    by Nagi, Jawad
    Published 2011
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  11. 11
    Correlation between permittivity of urine and breast cancer /
    by Zhu, Chaozhe
    Published 2014
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  12. 12
    Automated detection of breast cancer in mammography images using Gabor filter and Bayesian classifier /
    by Yousefi, Bardia
    Published 2012
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  13. 13
    An overview of breast cancer diagnostic techniques /
    by Aeinehvand, Mohammad Mahdi
    Published 2012
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  14. 14
    The miR-200 family is controlled by epigenetic-based mechanisms and mediates transition between non-stem and stem-like cell phenotypes /
    by Lim, Yat Yuen
    Published 2012
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