mlsanityData to 14 Oct 2026

Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients

arXiv 2411.10755 ↗First posted 16 Nov 2024eess.IV cs.CV cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

This study introduces a diffusion-based framework for robust and accurate segmenton of vertebrae, intervertebral discs (IVDs), and spinal canal from Magnetic Resonance Imaging~(MRI) scans of patients with low back pain (LBP), regardless of whether the scans are T1w or T2-weighted. The results showed that SpineSegDiff achieved comparable outperformed non-diffusion state-of-the-art models in the identification of degenerated IVDs. Our findings highlight the potential of diffusion models to improve LBP diagnosis and management through precise spine MRI analysis.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 22 references that are in the map. First posted on arXiv 16 Nov 2024.

Builds on

9 of 22 references.

References · 9

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2022MONAI: An open-source framework for deep learning in healthcarecited by 448
  3. 2018nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentationcited by 291
  4. 2021Diffusion Models for Implicit Image Segmentation Ensemblescited by 198
  5. 2022MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Modelcited by 180
  6. 2019Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practicecited by 71
  7. 2023On the Generalization Properties of Diffusion Modelscited by 68
  8. 2023Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentationcited by 41
  9. 2022Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentationcited by 18

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation
  2. 2023Introducing Shape Prior Module in Diffusion Model for Medical Image Segmentation
  3. 2024ContourDiff: Unpaired Medical Image Translation with Structural Consistency
  4. 2023Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation
  5. 2026An Explainable Vision-Language Model Framework with Adaptive PID-Tversky Loss for Lumbar Spinal Stenosis Diagnosis
  6. 2024SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors
  7. 2024Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracy
  8. 2024Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models