JPI News Feed

JPI News Feed

ScienceDirect Publication: Journal of Pathology Informatics

Smartphone-based machine learning model for real-time assessment of medical kidney biopsy
Evaluation of the precision and accuracy in the classification of breast histopathology images using the MobileNetV3 model
BBDash: An Electron-based tool for analyzing blood product utilization
Whole slide images as non-fungible tokens: A decentralized approach to secure, scalable data storage and access
Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative
Eye tracking in digital pathology: A comprehensive literature review
On image search in histopathology
Crossing the Andes: Challenges and opportunities for digital pathology in Latin America
Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid review
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Computational pathology: A survey review and the way forward
Artificial intelligence (AI) for tumor microenvironment (TME) and tumor budding (TB) identification in colorectal cancer (CRC) patients: A systematic review
Computational pathology in the identification of HER2-low breast cancer: Opportunities and challenges
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Cognitive factors impacting patient understanding of laboratory test information
Towards interactive AI-authoring with prototypical few-shot classifiers in histopathology
A novel Slide-seq based image processing software to identify gene expression at the single cell level
Masked pre-training of transformers for histology image analysis
A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer