A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision

Description
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This archive contains data and results (model checkpoint, segmentation results, ...)
used and obtained in paper:

Laurent Lejeune, Raphael Sznitman,
    A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision,
    Medical Image Analysis,
    2021 (in preparation)

Details
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Each directory is named DatasetXY, where X denotes the type (surgical instrument, cochlea,
slitlamp, and brain), and Y denotes the index of the sequences (from 0 to 3).

For the data.zip archive, we provide a CSV file that contains the 2d locations used in our experiments.

For the results.zip archive, the checkpoint of our models are in PyTorch format.