Study Design. The present study followed the reporting guidelines for systematic reviews
and meta-analyses. Objective. Therefore, we conducted this study to review the diagnostic …

Lumbar spinal stenosis (LSS) is a lumbar disease with a high incidence in recent years.
Accurate segmentation of the vertebral body, lamina and dural sac is a key step in the …

Assessment of medical images and diagnostic decision making of lumbar associated
diseases by clinicians is invariably subjective, time consuming and challenging task …

Accurate tooth segmentation from CBCT images is a crucial step for specialist to perform
quantitative analysis, clinical diagnosis and operation. In this paper, we present a symmetric …

High‐precision image segmentation of the spine in computed tomography (CT) images is
important for the diagnosis of spinal diseases and surgical path planning. Manual …

Lumbar spine segmentation is important to help doctors diagnose lumbar disc herniation
(LDH) and patients' rehabilitation treatment. In order to accurately segment the lumbar spine …

U-Net series models have achieved considerable success in various fields such as image
segmentation and image classification. However, the decoders in these models often use …

Background We investigated a 2-dimensional (2D) U-Net model to delineate lumbar bone
marrow (BM) using a high resolution T1-weighted magnetic resonance imaging. Method …

The disease analysis of the lumbar spine often requires a large number of three-
dimensional (3D) models. Currently, there is a lack of 3D model of the lumbar spine for …

Boundary extraction is meaningful in medical image analysis since it explicitly extracts the
tissue/lesions boundary coordinates, which benefits the follow-up diagnosis processes …