Commercial
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.
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
- 3,000+
- studies
- 14+
- pathologies
CASE DESCRIPTION
The dataset contains 3000 studies. The data format is dicom.
It includes detailed segmentation masks for 14 pathologies
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
Why Choose Us
UniData offers unparalleled expertise in AI data solutions, delivering superior data quality and optimized workflows- 1000 +
- full-time assessors