Mammography Segmentation Dataset
Dataset of x-ray of the mammary includes over 3,000 studies that highlight various pathologies such as skin thickening, papilloma, lymph node and etc.
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-
- studies
- 3,000+
-
- pathologies
- 14+
- Medicine
- Segmentation
- Computer Vision
- Classification
- Machine Learning
-
- studies
- 3,000+
-
- pathologies
- 14+
Dataset Info
| Characteristic | Data |
| Description | X-ray of the mammary to recognize pathologies |
| Data types | DiCOM |
| Markup | Segmentation of pathologies |
| Tasks | Pathology recognition, computer vision. |
| Number of studies | 3,000+ |
| Number of pathologies | 14+ |
| Labeling | segmentation of a pathology |
| List of annotated classes | Skin thickening, papilloma, malignant lesion, benign lesion, malignant calcification cluster, calcified vessel, artifact, calcified cyst, lymph node, fibrocystic changes, single calcification, nipple, retracted nipple, others. |
Pathologies
- Skin thickening
- papilloma
- malignant lesion
- benign lesion
- malignant calcification cluste
- calcified vessel
- artifact
- calcified cyst
- lymph node
- fibrocystic changes
- single calcification
- nipple
- retracted nipple
- others
Technical
Characteristics
| Characteristic | Data |
| File extension | DiCOM |
| Extension of labeling file | json |
Industries
Medicine and Healthcare:
-
Disease diagnosis:
Computer vision and classification for automatic detection and classification of various mammary glands pathologies
-
Telemedicine:
Using remote diagnostics to analyze X-ray and provide conclusions to patients at a distance.
Education:
-
Medical training:
Segmentation for the education and training of medical university students, interns, and residents
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