Commercial
Brain CT Segmentation Dataset
Dataset of CT scans of the brain includes over 1,000 studies that highlight various pathologies such as acute ischemia, chronic ischemia, tumor, and etc.
Request a demo- Medicine The use of machine learning in the medicine
- Segmentation Dividing an image into semantically independent segments to determine object boundaries
- Computer Vision The ability to recognize and analyze images and videos
- Classification Process of recognition and grouping of objects into preset categories
- 1,000+
- studies
- 10
- pathologies
CASE DESCRIPTION
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The dataset contains 1000 studies. The data format is nii.
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It includes detailed segmentation masks for 10 pathologies
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The dataset includes both volumetric data and corresponding masks for each study.
Application areas of the dataset
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01.
Medical diagnostics:
Computer vision and classification for automatic detection and classification of various brain pathologies -
02.
Clinical Decision Support Systems:
The dataset can enhance decision-making tools by providing accurate segmentation data that assist healthcare professionals in interpreting CT scans. -
03.
Training Medical Personnel:
Segmentation for the education and training of medical university students, interns, and residents
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