Deep learning assisted segmentation of the lumbar intervertebral disc: a systematic review and meta-analysis.

ABSTRACT: In recent years, deep learning (DL) technology has been increasingly used for the diagnosis and treatment of lumbar intervertebral disc (IVD) degeneration. This study aims to evaluate the performance of DL technology for IVD segmentation in magnetic resonance (MR) images and explore improvement strategies. We developed a PRISMA systematic review protocol and systematically reviewed studies that used DL algorithm frameworks to perform IVD segmentation based on MR images published up to April 10, 2024. The Quality Assessment of Diagnostic Accuracy Studies-2 tool was used to assess methodological quality, and the pooled dice similarity coefficient (DSC) score and Intersection over Union (IoU) were calculated to evaluate segmentation performance. 45 studies were included in this systematic rev

SUBMITTER: Wang A 

PROVIDER: S-EPMC11337880 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature