Commercial
Spine MRI Dataset
Dataset of MRI images of the spine and corresponding text reports from radiologists with descriptions, conclusions and recommendations
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- medical studies
- 2,400,000+
-
- pathologies
- 67+
- Medicine
- Computer Vision
- Machine Learning
- Classification
- Data Labeling
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- medical studies
- 2,400,000+
-
- pathologies
- 67+
Dataset Info
Characteristic | Data |
Description | MRI images of the lumbar vertebras and lumbar discs for recognize pathologies |
Data types | Dicom, jpg |
Annotation | Type of a study, MRI machine (mostly Philips Intera 1.5T), Patient's demographic information (age, sex, race), Brief anamnesis of the disease (complaints), Description of the case, Preliminary diagnosis, Recommendations on the further actions |
Tasks | Recognition, classification and segmentation of pathologies, computer vision |
Total number of files | 2,400,000+ |
Number of studies | 67+ |
Labeling | Technical characteristics and metadata(body part, number of studies), markup, medical reports |
Technical
Characteristics
Characteristic | Data |
File extension | Dicom, jpg |
Industries
Medicine and Healthcare:
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Disease Diagnosis:
Use of MRI images of the spine to detect and classify various pathologies such as herniated discs, spinal stenosis, and osteochondrosis.
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Medical text analysis:
Utilizing natural language processing to extract insights from annotation of clinical data and processing medical reports for improved patient care and decision-making
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Rehabilitation:
Use of MRI to evaluate the spine and monitor the progress of patients in recovery from injury or surgery.
Education:
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Clinical Training:
Use of spine MRI imaging in educational programs to train medical students and professionals, with emphasis on spinal anatomy and pathology.
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