Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

You Only Look Once: Unified, Real-Time Object Detection

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Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation

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Representation learning for mammography mass lesion classification with convolutional neural networks

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A deep learning approach for the analysis of masses in mammograms with minimal user intervention

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A deep feature based framework for breast masses classification

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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

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Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests

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Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning

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A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography

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An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network

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Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network

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PCA-PNN and PCA-SVM Based CAD Systems for Breast Density Classification

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A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology

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An Efficient Approach for Automated Mass Segmentation and Classification in Mammograms

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Segmentation of Bone Structure in X-ray Images using Convolutional Neural Network

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Chest pathology identification using deep feature selection with non-medical training

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Convolutional feature learning and Hybrid CNN-HMM for scene number recognition

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A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography

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Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification

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A Single Depth Sensor Based Human Activity Recognition via Convolutional Neural Network

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YOLOv1 to v8: Unveiling Each Variant–A Comprehensive Review of YOLO

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Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

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Breast cancer detection using deep learning: Datasets, methods, and challenges ahead

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Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art

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Deep convolutional neural networks for mammography: advances, challenges and applications

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