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
-
- studies
- 3,000+
-
- pathologies
- 14+
CASE DESCRIPTION
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The dataset contains 3000 studies. The data format is dicom.
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It includes detailed segmentation masks for 14 pathologies
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The dataset is annotated by the professional medics for segmentation tasks. The annotation is stored in json format
Application areas of the dataset
-
01.
Medical diagnostics:
Computer vision and classification for automatic detection and classification of various mammary glands pathologies -
02.
Clinical Decision Support Systems:
The dataset can enhance decision-making tools by providing accurate segmentation data that assist healthcare professionals in interpreting X-ray -
03.
Training Medical Personnel:
Segmentation for the education and training of medical university students, interns, and residents
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
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