A Survey on Deep Learning in Medical Image Analysis

Abstract

Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year. We survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks and provide concise overviews of studies per application area. Open challenges and directions for future research are discussed.

Revised survey includes expanded discussion section and reworked introductory section on common deep architectures. Added missed papers from before Feb 1st 2017

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• FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
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• Cribriform pattern detection in prostate histopathological images using deep learning models
• Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database
• Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach
• Automatic Whole-body Bone Age Assessment Using Deep Hierarchical Features
• PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
• Modelling Diffuse Subcellular Protein Structures as Dynamic Social Networks
• Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks
• A Deep Regression Model for Seed Identification in Prostate Brachytherapy
• 3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images
• Leave-one-out Unfairness
• The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation
• A new smart-cropping pipeline for prostate segmentation using deep learning networks
• Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
• Time-lapse Study of Neural Networks Using Phase Imaging with Computational Specificity (PICS)
• End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data
• A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images
• Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
• SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
• Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
• Making effective use of healthcare data using data-to-text technology
• Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs
• Distortion measure of spectrograms for classification of respiratory diseases
• Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer Learning
• Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation
• Predictive Model for Assessment of Pathological Response of Colorectal Liver Metastases to Chemotherapy from CT Images
• Feasibility Assessment of Multitasking in MRI Neuroimaging Analysis: Tissue Segmentation, Cross-Modality Conversion and Bias correction
• Unpaired Modality Translation for Pseudo Labeling of Histology Images
• Unsupervised Local Discrimination for Medical Images
• Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation
• Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation
• Combining Heterogeneously Labeled Datasets For Training Segmentation Networks
• CoPA: Hierarchical Concept Prompting and Aggregating Network for Explainable Diagnosis
• Performance Evaluation of Transfer Learning Based Medical Image Classification Techniques for Disease Detection
• Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images
• Automatic detection of rare pathologies in fundus photographs using few-shot learning
• Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications
• An automated method of identifying incorrectly labelled images based on the sequences of loss functions of deep learning networks
• DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images
• Improved Slice-wise Tumour Detection in Brain MRIs by Computing Dissimilarities between Latent Representations
• Training continuously-coupled reconfigurable photonic chips with quantum machine learning
• DPL: Spatial-Conditioned Diffusion Prototype Enhancement for One-Shot Medical Segmentation
• Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
• Advanced Multi-Architecture Deep Learning Framework for BIRADS-Based Mammographic Image Retrieval: Comprehensive Performance Analysis with Super-Ensemble Optimization
• Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios
• Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation
• Sparsely Activated Networks: A new method for decomposing and compressing data
• Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning
• A deep learning-based method for relative location prediction in CT scan images
• Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning
• Leveraging Disease Progression Learning for Medical Image Recognition
• Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery
• Emergent symbolic language based deep medical image classification
• Unified Representation Learning for Efficient Medical Image Analysis
• Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data
• An Hybrid Method for the Estimation of the Breast Mechanical Parameters
• Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
• A Stock Prediction Model Based on DCNN
• Statistical Mechanical Analysis of Neural Network Pruning
• Deep Learning Models for Atypical Serotonergic Cells Recognition
• Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images
• Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks
• Enhancing Fiber Orientation Distributions using convolutional Neural Networks
• Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology
• Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
• Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
• A Research Agenda on Pediatric Chest X-Ray: Is Deep Learning Still in Childhood?
• Extending TensorFlow's Semantics with Pipelined Execution
• Assessing Robustness to Noise: Low-Cost Head CT Triage
• CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion
• Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks
• Patient-specific fine-tuning of CNNs for follow-up lesion quantification
• AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image Segmentation
• Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
• Auto-outlier Fusion Technique for Chest X-ray classification with Multi-head Attention Mechanism
• Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision
• Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach
• Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
• Bridging Cognitive Programs and Machine Learning
• Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps
• Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion
• Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data
• A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes
• An Efficient Framework for Automated Screening of Clinically Significant Macular Edema
• Quality Control of Neuron Reconstruction Based on Deep Learning
• 3D-OOCS: Learning Prostate Segmentation with Inductive Bias
• Reachability Is NP-Complete Even for the Simplest Neural Networks
• Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
• Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
• High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey
• Discriminative Localized Sparse Representations for Breast Cancer Screening
• Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration
• Deep Learning in Ultrasound Elastography Imaging
• Learning Optimal Deep Projection of ${}^{18}$F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes
• Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine
• A General Framework for Inverse Problem Solving using Self-Supervised Deep Learning: Validations in Ultrasound and Photoacoustic Image Reconstruction
• SUSAN: Segment Unannotated image Structure using Adversarial Network
• Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
• Network-Agnostic Knowledge Transfer for Medical Image Segmentation
• Investigating Critical Risk Factors in Liver Cancer Prediction
• Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks
• Image recognition via Vietoris-Rips complex
• The Coherent Point Drift for Clustered Point Sets
• SpotNet - Learned iterations for cell detection in image-based immunoassays
• Convolutional herbal prescription building method from multi-scale facial features
• Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images
• Efficient Sparse Artificial Neural Networks
• A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
• Drug cell line interaction prediction
• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images
• MixMicrobleedNet: segmentation of cerebral microbleeds using nnU-Net
• Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks
• GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits
• Deep learning for bioimage analysis
• Towards Robust Classification with Image Quality Assessment
• How to Train your DNN: The Network Operator Edition