Automated Segmentation of Tissues using CT and MRI: A Systematic Review
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Summary
A systematic review of the peer-reviewed literature on automated segmentation using CT and MRI for neurologic, thoracic, abdominal, musculoskeletal, and breast imaging applications discusses various approaches to automated segmentation using CT and MRI.
- Type
- review
- Published
- 2019-08-10
- Cited by
- 143
- References
- 356
- Access
- Open access
- OpenAlex
- https://openalex.org/W2967445385
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:199549357
Keywords
Segmentation, Medicine, Radiology, Computer science, Nuclear medicine
References
- Multi-organ Localization Combining Global-to-Local Regression and Confidence Maps
- Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning
- Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images
- SIMPLE Is a Good Idea (and Better with Context Learning)
- A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation
- Automated Methods for Hippocampus Segmentation: the Evolution and a Review of the State of the Art
- Efficient Multi-Atlas Abdominal Segmentation on Clinically Acquired CT with SIMPLE Context Learning
- Vertebrae localization in CT using both local and global symmetry features
- Fully automated detection of breast cancer in screening MRI using convolutional neural networks
- Determination of Prostate Volume: A Comparison of Contemporary Methods.
- Segmentation of the Right Ventricle Using Diffusion Maps and Markov Random Fields
- Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization
- BrainPrint: Identifying Subjects by Their Brain
- Geodesic Patch-Based Segmentation
- Fast Globally Optimal Segmentation of 3D Prostate MRI with Axial Symmetry Prior
- Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models
- Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors
- Fully Automated Whole-Head Segmentation with Improved Smoothness and Continuity, with Theory Reviewed
- A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling
- Hierarchical max-flow segmentation framework for multi-atlas segmentation with Kohonen self-organizing map based Gaussian mixture modeling
Cited by
- Determination of Prostate Volume: A Comparison of Contemporary Methods.
- Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI
- Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing
- Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions
- Measuring Success in the Treatment of Patients with Chronic Rhinosinusitis.
- MRI in the assessment of adipose tissues and muscle composition: how to use it.
- Automated Muscle Measurement on Chest Computed Tomography (CT) Predicts All-cause Mortality in Older Adults from the National Lung Screening Trial.
- Prostate Volume Estimation on MRI: Accuracy and Effects of Ellipsoid and Bullet-Shaped Measurements on PSA Density.
- Opportunistic Muscle Measurements on Staging Chest CT for Extremity and Truncal Soft Tissue Sarcoma are Associated with Survival
- Value-Added Opportunistic CT: Insights Into Osteoporosis and Sarcopenia.
- Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
- The role of body composition assessment in obesity and eating disorders.
- The impact of segmentation on whole‐lung functional MRI quantification: Repeatability and reproducibility from multiple human observers and an artificial neural network
- Functionalized nanoparticles with targeted antibody to enhance imaging of breast cancer in vivo
- Stratification of Cardiovascular Diseases Using Deep Learning
- Disparity improvement of brain tissues after MRI segmentation in tDCS rehabilitation
- Additive Manufacturing Pertaining to Bone: Hopes, Reality and Future Challenges for Clinical Applications.
- Semi-automatic micro-CT segmentation of the midfoot using calibrated thresholds
- Radiogenomics in Colorectal Cancer
- Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk Assessment
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