Panoptic Segmentation and Labelling of Lumbar Spine Vertebrae using Modified Attention Unet

arXiv:2404.18291v1 Announce Type: new
Abstract: Segmentation and labeling of vertebrae in MRI images of the spine are critical for the diagnosis of illnesses and abnormalities. These steps are indispensable as MRI technology provides detailed information about the tissue structure of the spine. Both supervised and unsupervised segmentation methods exist, yet acquiring sufficient data remains challenging for achieving high accuracy. In this study, we propose an enhancing approach based on modified attention U-Net architecture for panoptic segmentation of 3D sliced MRI …

abstract arxiv attention cs.ai cs.cv diagnosis images information labeling labelling mri panoptic segmentation segmentation technology type unet unsupervised