This special issue on Computational Pathology in the journal for Medical Image Analysis (MeDIA)seeks to solicit papers in the areas of medical image analysis, artificial intelligence and machine learning as they relate to digital pathology. This seeks to showcase new ground breaking research that is both innovative and clinically relevant for digital pathology and precision medicine.
The scope of the special issue includes, but is not limited to, the following topics:
Artificial intelligence and Deep Learning for Computational Pathology
Stain normalization/standardization
Detection, classification and segmentation of tissue structures (cells, glands etc.)
Detection and discovery of predictive and prognostic tissue biomarkers
Whole-slide image analysis
Registration of whole-slide images and cross-slide registration
Immunohistochemistry scoring
Multiplexed staining
Unlabeled multiplexing
Deep machine learning and image analysis algorithms, as applied to pathology images
Detection and discovery of predictive and prognostic tissue biomarkers
Multiplexed-stain image analysis
Unlabeled multiplexing
Histology image synthesis
Crowdsourcing for ground truth collection in digital pathology