Call for Paper

Artificial intelligence and deep learning for computational pathology
Stain normalization/standardization
Detection, classification and segmentation of tissue structures
Detection and discovery of predictive and prognostic tissue biomarkers
Whole-slide image analysis
Registration of whole-slide images
Immunohistochemistry scoring
Multiplexed staining
Unlabeled multiplexing
Crowdsourcing for ground truth collection and machine learning applications
Applications of computational pathology in the clinic