The state of the art of deep learning models in medical science and their challenges

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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

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Using Deep Learning for Image-Based Plant Disease Detection

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Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

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Scalable and accurate deep learning with electronic health records

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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

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Scalable and accurate deep learning with electronic health records.

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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

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An overview of deep learning in medical imaging focusing on MRI

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Deep Boltzmann machines

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Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

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Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

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Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

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Deep Learning Applications in Medical Image Analysis

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Deep Learning for Medical Image Processing: Overview, Challenges and the Future

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Deep Learning in Medical Imaging: General Overview

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Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

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Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

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Overview of deep learning in medical imaging

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Deep learning-based multi-omics integration robustly predicts survival in liver cancer

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Classification using deep learning neural networks for brain tumors

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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

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An overview of deep learning in medical imaging focusing on MRI

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Hierarchical Feature Representation and Multimodal Fusion with Deep Learning for AD/MCI Diagnosis

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Large scale deep learning for computer aided detection of mammographic lesions

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A novel deep learning based framework for the detection and classification of breast cancer using transfer learning

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Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans

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Applications of Deep Learning in Biomedicine

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Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

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A deep learning approach for Parkinson’s disease diagnosis from EEG signals

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Deep Learning and Its Applications in Biomedicine

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Backpropagation: Theory, architectures, and applications

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Deep Learning in Radiology

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Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

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Automated pulmonary nodule detection in CT images using deep convolutional neural networks

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Deep Learning-Based Feature Representation for AD/MCI Classification

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Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP

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Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives

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Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

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Medical image classification using synergic deep learning

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AI in Health: State of the Art, Challenges, and Future Directions

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Chest pathology detection using deep learning with non-medical training

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Deep learning for lung Cancer detection and classification

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Classification of acute lymphoblastic leukemia using deep learning

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Skin Lesion Classification Using Hybrid Deep Neural Networks

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Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

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A deep learning method for classifying mammographic breast density categories

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

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Deep learning for infrared thermal image based machine health monitoring

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BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights

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Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation

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Diagnosis of Focal Liver Diseases Based on Deep Learning Technique for Ultrasound Images

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A deep learning approach to machine transliteration

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A completely automated CAD system for mass detection in a large mammographic database

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Three Classes of Deep Learning Architectures and Their Applications: A Tutorial Survey

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Pixel-Based Machine Learning in Medical Imaging

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Deep Learning: A ReviewPreprint

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The Application of a Convolution Neural Network on Face and License Plate Detection

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Deep belief networks and cortical algorithms: A comparative study for supervised classification

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Medical images fusion by using weighted least squares filter and sparse representation

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Mariana: tencent deep learning platform and its applications

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A classification framework for prediction of breast density using an ensemble of neural network classifiers

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Identification of Acute Lymphoblastic Leukemia in Microscopic Blood Image Using Image Processing and Machine Learning Algorithms

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Mammogram classification using dynamic time warping

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A novel automatic image segmentation method for Chinese literati paintings using multi-view fuzzy clustering technology

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Automated segmentation of choroidal neovascularization in optical coherence tomography images using multi-scale convolutional neural networks with structure prior

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Deep learning-based automatic downbeat tracking: a brief review

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Oscillometric blood pressure estimation by combining nonparametric bootstrap with Gaussian mixture model

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A hybrid hierarchical framework for classification of breast density using digitized film screen mammograms

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Exploration of an innovative geometric parameter based on performance enhancement for foot print recognition

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Improving resolution of medical images with deep dense convolutional neural network

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Mammogram Classification Schemes by Using Convolutional Neural Networks

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An adaptive anchored neighborhood regression method for medical image enhancement

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Patch-wise label propagation for MR brain segmentation based on multi-atlas images

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A computerised framework for prediction of fatty and dense breast tissue using principal component analysis and multi-resolution texture descriptors

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On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks

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Evaluation of artificial intelligence techniques in disease diagnosis and prediction

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Machine learning and deep learning approach for medical image analysis: diagnosis to detection

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