Radiologists Notes for Lumbar Spine MRI Dataset
| Main Author: | Sudirman, Sud |
|---|---|
| Other Authors: | Al Kafri, Ala, Natalia, Friska, Meidia, Hira, Afriliana, Nunik, Al-Rashdan, Wasfi, Bashtawi, Mohammad, Al-Jumaily, Mohammed |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2019
|
| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/s6bgczr8s2 |
| ctrlnum |
0.17632-s6bgczr8s2.2 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc><creator>Sudirman, Sud</creator><title>Radiologists Notes for Lumbar Spine MRI Dataset</title><publisher>Mendeley</publisher><description>This dataset contains annotations by expert radiologists for the Lumbar Spine MRI Dataset (link provided below). The notes contain information regarding the observed characteristics, condition of the lumbar spine, or presence of diseases, these include bone marrow disease, end plate degeneration, IVD bulges, Thecal Sac compressing, central or foraminal stenosis, annular tears, scoliosis, endplate defects (Modic type), facet joint and Ligamentum Flavum hypertrophy, and spondylolisthesis.
You can download and read the research papers detailing our methodology on boundary delineation for lumbar spinal stenosis detection using the URLs provided in the Related Links at the end of this page. You can also check out other dataset and source code related to this program from that section.
We kindly request you to cite our papers when using our data or program in your research.</description><subject>Magnetic Resonance Imaging</subject><subject>Lumbar Spine</subject><contributor>Al Kafri, Ala</contributor><contributor>Natalia, Friska</contributor><contributor>Meidia, Hira</contributor><contributor>Afriliana, Nunik</contributor><contributor>Al-Rashdan, Wasfi</contributor><contributor>Bashtawi, Mohammad</contributor><contributor>Al-Jumaily, Mohammed</contributor><type>Other:Dataset</type><identifier>10.17632/s6bgczr8s2.2</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/s6bgczr8s2</relation><date>2019-04-03T07:29:42Z</date><recordID>0.17632-s6bgczr8s2.2</recordID></dc>
|
| format |
Other:Dataset Other |
| author |
Sudirman, Sud |
| author2 |
Al Kafri, Ala Natalia, Friska Meidia, Hira Afriliana, Nunik Al-Rashdan, Wasfi Bashtawi, Mohammad Al-Jumaily, Mohammed |
| title |
Radiologists Notes for Lumbar Spine MRI Dataset |
| publisher |
Mendeley |
| publishDate |
2019 |
| topic |
Magnetic Resonance Imaging Lumbar Spine |
| url |
https:/data.mendeley.com/datasets/s6bgczr8s2 |
| contents |
This dataset contains annotations by expert radiologists for the Lumbar Spine MRI Dataset (link provided below). The notes contain information regarding the observed characteristics, condition of the lumbar spine, or presence of diseases, these include bone marrow disease, end plate degeneration, IVD bulges, Thecal Sac compressing, central or foraminal stenosis, annular tears, scoliosis, endplate defects (Modic type), facet joint and Ligamentum Flavum hypertrophy, and spondylolisthesis.
You can download and read the research papers detailing our methodology on boundary delineation for lumbar spinal stenosis detection using the URLs provided in the Related Links at the end of this page. You can also check out other dataset and source code related to this program from that section.
We kindly request you to cite our papers when using our data or program in your research. |
| id |
IOS7969.0.17632-s6bgczr8s2.2 |
| institution |
Universitas Islam Indragiri |
| affiliation |
onesearch.perpusnas.go.id |
| institution_id |
804 |
| institution_type |
library:university library |
| library |
Teknologi Pangan UNISI |
| library_id |
2816 |
| collection |
Artikel mulono |
| repository_id |
7969 |
| city |
INDRAGIRI HILIR |
| province |
RIAU |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS7969 |
| first_indexed |
2020-04-08T08:20:00Z |
| last_indexed |
2020-04-08T08:20:00Z |
| recordtype |
dc |
| _version_ |
1686587546510819328 |
| score |
17.538404 |