Detecting Anatomical Landmarks from Limited Medical Imaging Data using Two-Stage Task-Oriented Deep Neural Networks
Explore this paper's citation graph
- Type
- article
- Published
- 2017-06-28
- Cited by
- 182
- References
- 40
- Access
- Open access
- OpenAlex
- https://openalex.org/W2724710774
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:22514621
Keywords
Landmark, Artificial intelligence, Convolutional neural network, Computer science, Deep learning
References
- Decision Forests with Long-Range Spatial Context for Organ Localization in CT Volumes
- Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks
- Multi-Atlas Segmentation of Biomedical Images: A Survey
- Cascaded Collaborative Regression for Robust Facial Landmark Detection Trained Using a Mixture of Synthetic and Real Images With Dynamic Weighting
- Automatic Labeling of Anatomical Structures in MR FastView Images Using a Statistical Atlas
- Efficient object localization using Convolutional Networks
- Generalized sparse MRF appearance models
- Deep Convolutional Network Cascade for Facial Point Detection
- Local Energy Pattern for Texture Classification Using Self-Adaptive Quantization Thresholds
- Fully Automatic Segmentation of the Proximal Femur Using Random Forest Regression Voting
- A Novel Matrix-Similarity Based Loss Function for Joint Regression and Classification in AD Diagnosis
- Deep learning for automatic localization, identification, and segmentation of vertebral bodies in volumetric MR images
- Continuous rotation invariant local descriptors for texton dictionary-based texture classification
- An evidential classifier based on feature selection and two-step classification strategy
- Automatic X-ray landmark detection and shape segmentation via data-driven joint estimation of image displacements
- Robust Automatic Knee MR Slice Positioning Through Redundant and Hierarchical Anatomy Detection
- Histograms of oriented gradients for human detection
- ImageNet classification with deep convolutional neural networks
- From Facial Parts Responses to Face Detection: A Deep Learning Approach
- Dual Sparse Constrained Cascade Regression for Robust Face Alignment
Cited by
- Multi-Hypergraph Learning for Incomplete Multi-Modality Data
- Landmark-based deep multi-instance learning for brain disease diagnosis
- A permissible region extraction based on a knowledge priori for X-ray luminescence computed tomography
- Patch-wise label propagation for MR brain segmentation based on multi-atlas images
- Segmentation of blood vessels using rule-based and machine-learning-based methods: a review
- Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG–PET images
- Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis
- Multi-task neural networks for joint hippocampus segmentation and clinical score regression
- Automatic construction of Chinese herbal prescription from tongue image via convolution networks and auxiliary latent therapy topics
- Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis
- Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics
- Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images
- Automatic Construction of Chinese Herbal Prescriptions From Tongue Images Using CNNs and Auxiliary Latent Therapy Topics
- Automatic coronary artery lumen segmentation in computed tomography angiography using paired multi-scale 3D CNN
- Breast cancer molecular subtype classification using deep features: preliminary results
- Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data
- Region-adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-based Image Synthesis
- Deformable Image Registration Using Cue-aware Deep Regression Network
- Survey on deep learning for radiotherapy
- Fast Multiple Landmark Localisation Using a Patch-based Iterative Network
Related papers
- Distances and directions are computed separately by honeybees in landmark-based search
- Development of Landmark Knowledge at Decision Points
- Leaf Features Extraction for Plant Classification using CNN
- Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning
- Automated Fruit Classification Using Deep Convolutional Neural Network
- [Research progress in medical imaging based on deep learning of neural network].
- Views on Deep Learning for Medical Image Diagnosis
- An Introduction to Deep Learning Applications In MRI Images