Related to imaging data
🧰 CCKP Toolkit Feature: CELESTA
CELESTA addresses a core need in spatial biology and cancer research: assigning cell types in multiplexed in situ imaging data without requiring labeled training [...]
🧰 CCKP Toolkit Feature: PyRadiomics
PyRadiomics addresses a core need in precision oncology: systematically extracting quantitative features from medical images. This open-source Python package pulls hundreds of radiomic features [...]
Thanks and Farewell to the Image Analysis Special Interest Group
The Image Analysis Special Interest Group has sunset after seven years. BIG THANK YOU to our Outgoing Image Analysis Special Interest Group Chairs - Clarence [...]
Investigator and Tool Highlight: CODAvision with Valentina Matos-Romero, Johns Hopkins University
What is your name, title and institutional affiliation? Valentina Matos-Romero, Ph.D. Candidate in Chemical and Biomolecular Engineering at Johns Hopkins University. What is [...]