AI-based CDSS of mammography

AI based on classical computer vision algorithms with deep convolutional neural networks for classification and segmentation
  • Density classification by ACR (A,B,C,D);
  • Detection and segmentation of such objects as:
- Tumors
- Calcification
- Calcification clusters
- Lymph nodes
- Skin thickenin

    • Measured parameters of pathologies such as:
    - Locaization (left/right breast, quadrant)
    - Size (width, height)
    - Number of elements in group, group area

    • Classification by BIRADS
    • Analysis time per study (4 images): less than 60-s

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