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2021 - Breast Cancer Segmentation Methods Current Status and Future Potentials.pdf

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2021 - Breast Cancer Segmentation Methods Current Status and Future Potentials.pdf
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2021 - Convolutional neural networks for breast cancer detection in mammography A survey.pdf
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2020 - Survey of deep learning in breast cancer image analysis.pdf
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2019 -Deep convolutional neural networks for mammography advances, challenges and applications.pdf
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2010 - A review of automatic mass detection and segmentation in mammographic images.pdf
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2009 - A Survey of Image Processing Algorithms in Digital Mammography.pdf
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2007 - A review of computer-aided diagnosis of breast cancer - Toward the detection of subtle signs.pdf
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2006 - Approaches for automated detection and classification of masses in mammograms.pdf
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2019 - Artificial Intelligence for Mammography and Digital Breast Tomosynthesis Current Concepts and Future Perspectives.pdf
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2020 - International evaluation of an AI system for breast cancer screening.pdf
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2017 - Why CAD Failed in Mammography.pdf
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2021 - A Review of Applications of Machine Learning in Mammography and Future Challenges.pdf
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2018 - A review of computer aided detection in mammography.pdf
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2016 - An_Overview_of_Mammogram_Analysis.pdf
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2021 - Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis State of the art.pdf
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2009 - CADx of mammographic masses and clustered microcalcifications - a review.pdf
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2013 - Computer-Aided_Breast_Cancer_Detection_Using_Mammograms_A_Review.pdf
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2016 - Review of recent advances in segmentation of the breast boundary and the pectoral muscle in mammograms.pdf
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2018 - Deep learning in mammography and breast histology, an overview and future trends.pdf
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2019 - Is mass classification in mammograms a solved problem - A critical review over the last 20 years.pdf
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