This paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. The dataset includes 447 sagittal T1 and T2 MRI series from 218 patients with a history of low...
LUMBAR painLUMBAR vertebraeThis paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. The dataset includes 447 sagittal T1 and T2 MRI...
This multi-institutional, expertly curated dataset promises to improve standardized classification of degenerative lumbar spine conditions and enable development of tools to automate accurate and rapid disease classification. 为了创建基础真相数据集,RSNA挑战规划工作组从五大洲的八个地点收集了影像数据。这一多...
This multi-institutional, expertly curated dataset promises to improve standardized classification of degenerative lumbar spine conditions and enable development of tools to automate accurate and rapid disease classification. 为了创建基础真相数据集,RSNA挑战规划工作组从五大洲的八个地点收集了影像数据。这一多...
To create the ground truth dataset, the RSNA challenge planning task force collected imaging data sourced from eight sites on five continents. This multi-institutional, expertly curated dataset promises to improve standardized classification of degenerative lumbar spine conditions and enable development of...
This multi-institutional, expertly curated dataset promises to improve standardized classification of degenerative lumbar spine conditions and enable development of tools to automate accurate and rapid disease classification. 为了创建基础真相数据集,RSNA挑战规划工作组从五大洲的八个地点收集了影像数据。这一多...
We describe a method to automatically detect and label the vertebrae in human lumbar spine MRI scans. Our contribution is to show that marrying two strong algorithms (the DPM object detector of Felzenszwalb et al.[ 1 ], and inference using dynamic programming on chains) together with appropriate...
Exploring deep learning strategies for intervertebral disc herniation detection on veterinary MRI ArticleOpen access19 July 2024 Lumbar spine segmentation in MR images: a dataset and a public benchmark ArticleOpen access02 March 2024 Automated detection, labelling and radiological grading of clinical spinal...
Spine (Phila Pa 1976). 2001;26:1873–8. https://doi.org/10.1097/00007632-200109010-00011. Article CAS PubMed Google Scholar Lee GY, Lee JW, Choi HS, Oh KJ, Kang HS. A new grading system of lumbar central canal stenosis on MRI: an easy and reliable method. Skeletal Radiol. 2011;...
Magnetic resonance (MR) has also been used for the semi-automatic or fully automatic segmentation of the active BM based on water-fat MR imaging in gynaecologic cancer patients or on patients who received spine MRI [11,12]. Although interesting, could be difficult to introduce these methods ...