IDC release v20 went live quietly couple of weeks ago in advance of RSNA. We are now at 85+TB of publicly available cancer imaging data. What’s new?
TCGA H&E nuclei segmentations
We are proud to announce public availability of the Pan-Cancer-Nuclei-Seg-DICOM collection, which contains segmentations of cell nuclei in the H&E slides for over 5,000 subjects from various TCGA collections. With this release, you can now view those segmentations in your browser, and download the entire collection or specific segmentations and images with the idc-index python package! Learn about the content and provenance of this collection from the data descriptor here: Pan-Cancer-Nuclei-Seg-DICOM: DICOM converted Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images.
This dataset, along with the new features in the Slim viewer to enable visualization of these massive segmentations, was long time in the making. We hope you find it useful! Stay tuned for the tutorial notebooks on how to use these segmentations in computational workflows, and reach out with any questions!
Updates to the Childhood Cancer Data Initiative (CCDI) collection
With the v20 update, CCDI-MCI collection now includes slide images for over 1,700 patients. Don’t miss all of the accompanying clinical data that is available for these images! Learn how to access it from this recent post.
New radiology collections
Mediastinal-Lymph-Node-SEG and Spine-Mets-CT-SEG radiology collections have been ingested from TCIA. Paraphrasing the giants, segmentations are more than pictures - they are data! Don’t settle for screenshots and experience the ability to interact with the segmentations available in these collections from your browser, such as in this example.
…Or pull the data into 3D Slicer using the SlicerIDCBrowser extension to experiment with advanced visualization and analysis tools.
