mlsanityData to 7 Oct 2026

MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction

arXiv 2502.00631 ↗First posted 2 Feb 2025cs.CVcited by 16

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Abstract (arXiv)

Bone density prediction via CT scans to estimate T-scores is crucial, providing a more precise assessment of bone health compared to traditional methods like X-ray bone density tests, which lack spatial resolution and the ability to detect localized changes. However, CT-based prediction faces two major challenges: the high computational complexity of transformer-based architectures, which limits their deployment in portable and clinical settings, and the imbalanced, long-tailed distribution of real-world hospital data that skews predictions. To address these issues, we introduce MedConv, a convolutional model for bone density prediction that outperforms transformer models with lower computational demands. We also adapt Bal-CE loss and post-hoc logit adjustment to improve class balance. Extensive experiments on our AustinSpine dataset shows that our approach achieves up to 21% improvement in accuracy and 20% in ROC AUC over previous state-of-the-art methods.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 17 of its 37 references that are in the map. First posted on arXiv 2 Feb 2025.

Builds on

17 of 37 references.

References · 17

  1. 2020Sharpness-Aware Minimization for Efficiently Improving Generalizationcited by 1,404
  2. 2019Class-Balanced Loss Based on Effective Number of Samplescited by 1,239
  3. 2022TotalSegmentator: robust segmentation of 104 anatomical structures in CT imagescited by 597
  4. 2024The Road Less Scheduledcited by 158
  5. 2021CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomographycited by 45
  6. 2023BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Datasetcited by 27
  7. 2023SegReg: Segmenting OARs by Registering MR Images and CT Annotationscited by 16
  8. 2024ESA: Annotation-Efficient Active Learning for Semantic Segmentationcited by 15
  9. 2024MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodulecited by 14
  10. 2024SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentationcited by 13
  11. 2024JointViT: Modeling Oxygen Saturation Levels with Joint Supervision on Long-Tailed OCTAcited by 12
  12. 2024MedDet: Generative Adversarial Distillation for Efficient Cervical Disc Herniation Detectioncited by 11
5 more
  1. 2020ReMix: Calibrated Resampling for Class Imbalance in Deep learningcited by 10
  2. 2024SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependenciescited by 10
  3. 2025GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentationcited by 10
  4. 2025ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancercited by 6
  5. 2022Long-tailed Recognition by Learning from Latent Categoriescited by 3

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Citing papers per year: 2025: 9; 2026: 7.

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  10. 20253D Medical Imaging Segmentation on Non-Contrast CTcited by 0
  11. 2025GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentationcited by 0
  12. 2026SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentationcited by 0
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  3. 2026Bridging the Modality Gap in Long-Form Clinical Audio: A Comparative Study of Lightweight and Heavyweight End-to-End SOAP Generationcited by 0
  4. 2026Code Consistency Preference Optimization Verification for Language Model Alignmentcited by 0