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2022 - An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks.pdf

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2022 - An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks.pdf
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2022 - A generative adversarial network for synthetization of regions of interest based on digital mammograms.pdf
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2022 - Early detection and classification of abnormality in prior mammograms using image-to-image translation and YOLO techniques.pdf
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2022 - ARF-Net An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images.pdf
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2022 - Visual and quantitative evaluation of microcalcifications in mammograms with deep learning-based super-resolution.pdf
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2021 - An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.pdf
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2021 - Evaluation of U-net-based Image Segmentation Model to Digital Mammography.pdf
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2022 - Multi-View Breast Cancer Classification via Hypercomplex Neural Networks.pdf
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2021 - MommiNet-v2 Mammographic multi-view mass identification networks.pdf
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2022 - Breast_Cancer_Diagnosis_in_Two-View_Mammography_Using_End-to-End_Trained_EfficientNet-Based_Convolutional_Network.pdf
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2021 - Act_Like_a_Radiologist_Towards_Reliable_Multi-view_Correspondence_Reasoning_for_Mammogram_Mass_Detection.pdf
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2022 - Identifying_Women_With_Mammographically-_Occult_Breast_Cancer_Leveraging_GAN-Simulated_Mammograms.pdf
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2021 - A computer-aided diagnostic system for mammograms based on YOLOv3.pdf
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2021 - Breast Lesions Detection and Classification via YOLO-Based Fusion Models.pdf
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2021 - A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images.pdf
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2021 - Connected-UNets a deep learning architecture for breast mass segmentation.pdf
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2021 - A framework for breast cancer classification using Multi-DCNNs.pdf
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2020 - BR-GAN Bilateral Residual Generating Adversarial Network for Mammogram Classification.pdf
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2020 - Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning.pdf
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2020 - Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms.pdf
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