3 papers
q-bio.QM2025
Digital Modeling of Spatial Pathway Activity from Histology Reveals Tumor Microenvironment Heterogeneity
Ling Liao, Changhuei Yang, Maxim Artyomov +5
Spatial transcriptomics (ST) enables simultaneous mapping of tissue morphology and spatially resolved gene expression, offering unique opportunities to study tumor microenvironment…
eess.IV2024
Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology
Siyu, Lin, Haowen Zhou +4
In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology applications, potentially even outperforming expert pathologists due to their abi…
eess.IV2024
Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis
Haowen Zhou, Steven, Lin +6
Deep learning assisted digital pathology has the potential to impact clinical practice in significant ways. In recent studies, deep neural network (DNN) enabled analysis outperform…