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2022 - Retrospective Review of Missed Cancer Detection and Its Mammography Findings with Artificial-Intelligence-Based, Computer-Aided Diagnosis.pdf

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2022 - Retrospective Review of Missed Cancer Detection and Its Mammography Findings with Artificial-Intelligence-Based, Computer-Aided Diagnosis.pdf
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2022 - Mammogram breast cancer CAD systems for mass detection and classification a review.pdf
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2022 - AI in Breast Cancer Imaging A Survey of Different Applications.pdf
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2022 - Review of Different Methods of Abnormal Mass Detection inDigital Mammograms.pdf
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2021 - A systematic survey of deep learning in breast cancer.pdf
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2009 - Toward breast cancer diagnosis based on automated segmentation of masses in mammograms.pdf
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2021 - A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis.pdf
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2021 - A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms.pdf
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2021 - Breast Cancer Risk Assessment A Review on Mammography-Based Approaches.pdf
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2021 - Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images.pdf
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2020 - A_State-of-the Art_Survey_on_Deep_Learning_Methods_for_Detection_of_Architectural_Distortion_From_Digital_Mammography.pdf
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2020 - A review of breast boundary and pectoralmuscle segmentation methods in computer-aided detectiondiagnosis of breast mammography.pdf
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2019 - Deep Learning to Improve Breast Cancer Detection on Screening Mammography.pdf
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2019 - Artificial Intelligence in Cancer Imaging.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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2018 - Deep learning in mammography and breast histology, an overview and future trends.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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2013 - Computer-Aided_Breast_Cancer_Detection_Using_Mammograms_A_Review.pdf
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2009 - CADx of mammographic masses and clustered microcalcifications - a review.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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