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

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

Description --- 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 p...

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Hauptverfasser: Lejeune, Laurent, Sznitman, Raphael
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Sznitman, Raphael
description Description --- 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 --- 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.
doi_str_mv 10.5281/zenodo.5007788
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title A Positive/Unlabeled Approach for the Segmentation of Medical Sequences using Point-Wise Supervision
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