Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for A Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features
Monika Pytlarz, Kamil Wojnicki, Paulina Pilanc, B. Kaminska, Alessandro Crimi
This paper develops a deep learning model for glioma grading using a tumor microenvironment analysis protocol, achieving 0.85 accuracy on a small, imbalanced dataset with single-stained biopsies.
Journal of Imaging Informatics in Medicine · Feb 27, 2024Peer-reviewedBioinformatics