Published June 22, 2022 | Version v1
Dataset Open

Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification - Features

Authors/Creators

  • 1. DGIST

Description

A release of the sources employed in the FRMIL work - "Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification", presented at MICCAI 2022.

We release the Camelyon16 Whole Slide Image (WSI) extracted patch-level features for reproducibility.

Files

cm16.zip

Files (5.1 GB)

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md5:a35b599f0ba54e80c71b0eec809ed1dd
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Additional details

Related works

Is cited by
Conference paper: 10.48550/arxiv.2206.10878 (DOI)

References

  • Chikontwe et al. Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification . MICCAI'2022