Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach. (arXiv:2204.02943v1 [cs.CV])

Accurate and automatic segmentation of intervertebral discs from medical
images is a critical task for the assessment of spine-related diseases such as
osteoporosis, vertebral fractures, and intervertebral disc herniation. To date,
various approaches have been developed in the literature which routinely relies
on detecting the discs as the primary step. A disadvantage of many cohort
studies is that the localization algorithm also yields false-positive
detections. In this study, we aim to alleviate this problem by proposing a
novel U-Net-based structure …

arxiv cv information labeling learning