A curated list of awesome ultrasound standard plane detection/localization/localisation/extraction/classification/selection/identification/recognition.
| Papers & Code | Short for Schemes | Notes |
|---|---|---|
| Automated Selection of Standardized Planes from Ultrasound Volume [MICCAI-MLMI 2011] | 2STC | Sliding Window, Haar, AdaBoost, AS Detection, SP Classification |
| Learning-based scan plane identification from fetal head ultrasound images [Medical Imaging 2012] | - | Template Matching, Active Appearance Models, AS Detection, LDA, SP Classification |
| Intelligent Scanning: Automated Standard Plane Selection and Biometric Measurement of Early Gestational Sac in Routine Ultrasound Examination [Medical Physics 2012] | IS | Sliding Window, Haar, Cascade AdaBoost, AS Localization, Relative Position, Local Context Information, SP Classification |
| Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound [MICCAI-CCCAI 2013] | SSSD | Haar, AdaBoost, Segmentation, Accumulative Vessel Probability Map, Selective Search, Geometric Relationship, Sequence AS Detection, SP Localization |
| Standard Plane Localization in Ultrasound by Radial Component [ISBI 2014] | RCD | Random Forest, Geometric Constrain, Radial Component, AS Detection, SVM, SP Localization |
| Automatic Recognition of Fetal Standard Plane in Ultrasound Image [ISBI 2014] | FV-Aug | AdaBoost, Dense Sampling Feature Transform Descriptor, Fish Vector, Spatial Pyramid Coding, Gaussian Mixture Model, SVM, SP Classification |
| Standard Plane Localization in Ultrasound by Radial Component Model and Selective Search [Ultrasound in Medicine and Biology 2014] | RVD | Random Forest, Geometric Constrain, Radial Component, Vessel Probability Map, Selective Search, AS Detection, SVM, SP Localization |
| Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium [MIUA 2014] | - | Topological Manifold Representation, Landmark Alignment, 3D Parametric Surface Model, SP Localization |
| A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation [MICCAI-MLMI 2014] | CRF-FA-Dist | Informative Voxels, Reference Plane, Constrained Regression Forest, SP Localization |
| Automatic Recognition of Fetal Facial Standard Plane in Ultrasound Image via Fisher Vector [PLOS ONE 2015] | FV-Chi2-SDCA | Spatial Stacking, Densely Sampled Root Scale Invariant Feature Transform, Gaussian Mixture Model, Fisher Vector, Multilayer Fisher Network, SVM, SP Classification |
| Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain [JBHI 2015] | CRF-FA-Dist-M | Informative Voxels, Manual Reference Plane, Constrained Regression Forest, SP Localization |
| Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks [JBHI 2015] | T-CNN | Knowledge Transfer, CNN, SP Localization |
| Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks [MICCAI 2015] | T-RNN | CNN, Knowledge Transfer, Joint Learning, Spatio-temporal Feature, RNN, SP Classification |
| Fetal Facial Standard Plane Recognition via Very Deep Convolutional Networks [EMBC 2016] | - | DCNN, SP Classification |
| Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks [MICCAI 2016] | - | CNN, Unsupervision, Saliency Maps, AS Localization, SP Classification |
| Ultrasound Standard Plane Detection Using a Composite Neural Network Framework [Transactions on Cybernetics 2017] | T-RNN | CNN, RNN, Composite Framework, SP Classification |
| SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound [TMI 2017] [Official Code] [Third-Party Code] | SonoNet | CNN, SP Classification, Weakly Supervision, AS Localization |
| Automatic Detection of Standard Sagittal Plane in the First Trimester of Pregnancy Using 3-D Ultrasound Data [Ultrasound in Medicine and Biology 2017] | - | Deep Belief Network, Circle Detection, SP Classification |
| Attention-Gated Networks for Improving Ultrasound Scan Plane Detection [MIDL 2018] [Official Code] | AG-SonoNet | CNN, Attention, SP Classification, Weakly Supervision, AS Localization |
| Standard Plane Localisation in 3D Fetal Ultrasound Using Network with Geometric and Image Loss [MIDL 2018] | - | CNN, Rigid Transformation, Geometric Loss, Image Loss, SP Localization |
| Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network [MICCAI 2018] [Official Code] | ITN | CNN, Rigid Transformation, SP Localization |
| Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks [MICCAI-DATRA/PIPPI 2018] | MSDNet | Multi-scale, Cascade, Dense Connection, CNN, SP Classification |
| SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking [ISBI 2018] | SonoEyeNet | CNN, Eye Tracking, Visual Heatmap, Information Fusion, SP Classification |
| Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps [MICCAI 2018] | M-SonoEyeNet | Multi-task, CNN, Eye Tracking, GAN, Generator, Sonographer Attention, Discriminator, Predicted Attention, SP Classification |
| Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound [MICCAI 2019] | DDQN-AT | Landmark Alignment, Reinforcement Learning, CNN, RNN, SP Localization |
| SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images [MICCAI-PIPPI/SUSI 2019] | SPRNet | CNN, Weight-share, Transfer Learning, SP Classification |
| Deep Learning-Based Methodology for Recognition of Fetal Brain Standard Scan Planes in 2D Ultrasound Images [IEEE Access 2019] | - | Data Augmentation, DCNN, Domain Transfer, SP Classification |
| Standard Plane Identification in Fetal Brain Ultrasound Scans Using A Differential Convolutional Neural Network [IEEE Access 2020] | Different-CNN | Differential Operator, Differential CNN, SP Classification |
| Evaluation of Deep Convolutional Neural Networks for Automatic Classification of Common Maternal Fetal Ultrasound Planes [Scientific Reports 2020] [Third-Party Code] | - | Data Augmentation, PCA, Hog, Boosting, VGG, MobileNet, Inception-v3, ResNet, SENet, SE-ResNet, DenseNet, SP Classification |
| Automatic Fetal Middle Sagittal Plane Detection in Ultrasound Using Generative Adversarial Network [Diagnostics 2020] | - | Segmentation, Object Detection, Seed Point, GAN, SP Localization |
| Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion [CMMM 2021] | LH-SVM | Local Binary Pattern, Histogram of Oriented Gradient, Feature Fusion, SVM, SP Classification |
| Principled Ultrasound Data Augmentation for Classification of Standard Planes [IPMI 2021] | - | Data Augmentation, Augmentation Policy Search, CNN, SP Classification |
| Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane Classification [Sensors 2021] | - | GAN, Data Augmentation, CNN, SP Classification |
| Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound [TMI 2021] [Official Code] | AgentSPL | Landmark Alignment, Reinforcement Learning, CNN, RNN, SP Localization |
| Autonomous Navigation of An Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning [ICRA 2021] | SonoRL | Reinforcement Learning, Probe Navigation, Confidence-aware Agent, CNN, SP Localization |
| Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound [MIA 2021] | MARL | Multi-agent, Reinforcement Learning, RNN, NAS, SP Localization |
| Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT [Transactions on Industrial Informatics 2021] | FUSPR | CNN, RNN, Spatial-temporal Feature, SP Classification |
| Automatic quality assessment for 2D fetal sonographic standard plane based on multitask learning [Medicine 2021] | - | CNN, AS Classification, Object Detection, AS Localization, SP Quality Control |
| Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound [MICCAI-MLMI 2021] | MLL-GCN-CRC | Word Embedding, GCN, CNN, Cluster Relabeled Contrastive Learning, Multi-label, AS Classification, SP Classification |
Tags: Standard Plane --> SP | Anatomical Structure --> AS
- FETAL_PLANES_DB: Common maternal-fetal ultrasound images. | Official | Here
- 6 Classes:
- Fetal Anatomical Planes: Abdomen, Brain (Further categorized into the 3 most common fetal brain planes: Trans-thalamic, Trans-cerebellum, Trans-ventricular), Femur, Thorax.
- Mother’s Cervix.
- General Category: Including any other less common image plane.
- Meta Information: Patient number, US machine, Operator.
- Training-test split used in the Nature Sci Rep paper.
- 6 Classes:
Thanks to the contributors of all the above papers, code, public datasets, and other resources.