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Segmentation of Hep2 Images

The task is to develop an image processing/machine learning algorithm to detect cell images in a whole slide of HEp2 Image. The results of the algorithm are evaluated via Dice Coefficient (or F1 Score).

Data Set:

  • MIVIA HEp-2 Image dataset (28 images, one per patient)
  • Binary masks describing the region of Interest (ROI)

Download Link: https://mivia.unisa.it/datasets/biomedical-image-datasets/hep2-image-dataset/

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Segmentation of Hep2 Images using image processing/machine learning algorithms

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