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Automated Spinal Column Extraction and Partitioning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jbin.2001.1003openalex-snapshot
Automatic Lumbar Vertebral Identification Using Surface-Based Registration
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Computer assisted quantitative analysis of deformities of the human spine
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Automated curved planar reformation of 3D spine images
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Watersheds in digital spaces: an efficient algorithm based on immersion simulations
inferredcites →https://doi.org/10.1109/tbme.2004.831540openalex-snapshot
Combining Strings and Necklaces for Interactive Three-Dimensional Segmentation of Spinal Images Using an Integral Deformable Spine Model
inferredcites →https://doi.org/10.1117/12.652288openalex-snapshot
Computer aided lytic bone metastasis detection using regular CT images
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Automated lumbar spine segmentation in MRI using an enhanced U-Net with inception module and dual-output mechanism
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Fully automatic measurements of axial vertebral rotation for assessment of spinal deformity in idiopathic scoliosis
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Automatic and hierarchical segmentation of the human skeleton in CT images
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Quantitative Analysis of Age-Associated Bone Mineral Density Variations via Automated Segmentation: Using CT Scans and Radon Transform to Accurately Examine and Assess the Vertebrae
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Vertebra localization and centroid detection from cervical radiographs
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Delineation of the pelvic girdle in computed tomographic images
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A fully automated method for spinal canal detection in computed tomography images
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Classification of Intervertebral Disc on Lumbar MR Images using SVM
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Detection of Disk in the MRI Spine Image with Reconstructing Coronal Plane
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Automatic Segmentation of the Body and the Spinal Canal in CT Images Based on A Priori Information
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Automatic Segmentation and 3D Reconstruction of Spine Based on FCN and Marching Cubes in CT Volumes
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Spine curve modeling for quantitative analysis of spinal curvature
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Vertebrae segmentation techniques for spinal medical images
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Computer Aided Detection of Lytic Bone Metastases in the Spine using Routine CT Images
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Sclerotic rib metastases detection on routine CT images
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Automated extraction of anatomic landmarks on vertebrae based on anatomic knowledge and geometrical constraints
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Probabilistic and geometric shape based segmentation methods.
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Automatic Deep Feature Learning via Patch-Based Deep Belief Network for Vertebrae Segmentation in CT Images
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SVseg: Stacked Sparse Autoencoder-Based Patch Classification Modeling for Vertebrae Segmentation
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Automated Vertebrae Extraction Using Watershed Segmentation and Tree-based Modelling Approach
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Compression Fractures Detection on CT
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Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling
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Spatial Fuzzy C-Means Clustering based Segmentation of Tumor in Vertebral Column Images
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Structure-by-structure Recognition of Spinal Columns, Ribs, Intervertebral Disks and Vertebrae from Abdominal X-ray CT Images
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OncoSpineSeg: A Software Tool for a Manual Segmentation of Computed Tomography of the Spine on Cancer Patients
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