Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2304.07248 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911894975021056 |
|---|---|
| author | Rudie, Jeffrey D. Saluja, Rachit Weiss, David A. Nedelec, Pierre Calabrese, Evan Colby, John B. Laguna, Benjamin Mongan, John Braunstein, Steve Hess, Christopher P. Rauschecker, Andreas M. Sugrue, Leo P. Villanueva-Meyer, Javier E. |
| author_facet | Rudie, Jeffrey D. Saluja, Rachit Weiss, David A. Nedelec, Pierre Calabrese, Evan Colby, John B. Laguna, Benjamin Mongan, John Braunstein, Steve Hess, Christopher P. Rauschecker, Andreas M. Sugrue, Leo P. Villanueva-Meyer, Javier E. |
| contents | The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) dataset is a public, clinical, multimodal brain MRI dataset consisting of 560 brain MRIs from 412 patients with expert annotations of 5136 brain metastases. Data consists of registered and skull stripped T1 post-contrast, T1 pre-contrast, FLAIR and subtraction (T1 pre-contrast - T1 post-contrast) images and voxelwise segmentations of enhancing brain metastases in NifTI format. The dataset also includes patient demographics, surgical status and primary cancer types. The UCSF-BSMR has been made publicly available in the hopes that researchers will use these data to push the boundaries of AI applications for brain metastases. The dataset is freely available for non-commercial use at https://imagingdatasets.ucsf.edu/dataset/1 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2304_07248 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset Rudie, Jeffrey D. Saluja, Rachit Weiss, David A. Nedelec, Pierre Calabrese, Evan Colby, John B. Laguna, Benjamin Mongan, John Braunstein, Steve Hess, Christopher P. Rauschecker, Andreas M. Sugrue, Leo P. Villanueva-Meyer, Javier E. Image and Video Processing Computer Vision and Pattern Recognition The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) dataset is a public, clinical, multimodal brain MRI dataset consisting of 560 brain MRIs from 412 patients with expert annotations of 5136 brain metastases. Data consists of registered and skull stripped T1 post-contrast, T1 pre-contrast, FLAIR and subtraction (T1 pre-contrast - T1 post-contrast) images and voxelwise segmentations of enhancing brain metastases in NifTI format. The dataset also includes patient demographics, surgical status and primary cancer types. The UCSF-BSMR has been made publicly available in the hopes that researchers will use these data to push the boundaries of AI applications for brain metastases. The dataset is freely available for non-commercial use at https://imagingdatasets.ucsf.edu/dataset/1 |
| title | The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset |
| topic | Image and Video Processing Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2304.07248 |