Extracting Cellular Diversity Features in Local Cell Cluster Graph from Histology Images
How to use: read/run runme.m to see how to extract Cellular Diversity Features from a histology image.
Citation:
- Cheng Lu, Kaustav Bera, Xiangxue Wang, Prateek Prasanna, Jun Xu, Andrew Janowczyk, Niha Beig, Michael Yang, Pingfu Fu, James Lewis, Humberto Choi, Ralph A Schmid, Sabina Berezowska, Kurt Schalper, David Rimm, Vamsidhar Velcheti, and Anant Madabhushi. Cellular Diversity Features from H&E Tissue Images are Prognostic of Survival and Associated with Biological Pathways in Early Stage Non-Small Cell Lung Cancer. The Lancet Digital Health. DOI:https://doi.org/10.1016/S2589-7500(20)30225-9. 2020.
- Cheng Lu, James S. Lewis Jr., William D. Dupont, W. Dale Plummer Jr., Andrew Janowczyk, Anant Madabhushi，“An Oral Cavity Squamous Cell Carcinoma Quantitative Histomorphometric-Based Image Classifier (OHbIC) of Nuclear Morphology Can Risk Stratify Patients for Disease Specific Survival”, Modern Pathology. 2017 Aug 4. doi: 10.1038/modpathol.2017.98.