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September 17, 2026Machine Learning and Knowledge ExtractionOpen Access

Geometry-Aware 1D Residual CNN-BiLSTM Network for Automated Vertebral Localization and Scoliosis Classification

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Authors

PKPei-Chen KuoYCYen-Ching Chang

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Cite This Study

Kuo et al. (2026) studied this question.

synapsesocial.com/papers/6aabb7755f706d05830e67a2https://doi.org/10.3390/make8090286
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Deep Learning-Based Fully Automated Vertebra Segmentation and Labeling Workflow2025 · 3 citations
  2. 2Enhanced vertebrae localization in CT volumes: a two-stage deep learning framework2026
  3. 3Boundary-Enhanced YOLO-Based Instance Segmentation with Background-Only Negative Samples for Three-Level Scoliosis Severity Screening in Whole-Spine Radiography2026
  4. 4Vertebrae Landmark Detection and Scoliosis Assessment Using Deep Learning2024 · 1 citations
  5. 5VerTE-MT: A Multi-Task Framework with Entropy-Guided Sampling for Vertebrae Segmentation and Localisation in CT2026 · 1 citations