Conversation with Dr. Alistair Robson, Consultant Dermatopathologist and Clinical Director of Digital Pathology at Source LDPath
Dr Alistair Robson is a qualified general (FRCPath) and specialist dermatopathologist (DipRCPath), a...
Stain Normalization May Improve the Accuracy of Prostate Cancer Diagnosis
Analysis of whole-slide images (WSIs) by pathologists is an integral part of prostate cancer diagnos...
What AI’s Changing Landscape Means For Pathology
A wave of recent success stories has ushered AI into the mainstream, prompting (no pun intended) man...
Prostate cancer AI diagnosis tool begins evaluation in Oxford
New artificial intelligence (AI) software that can help to spot prostate cancer is being trialled by...
AI Tool Outperforms Human Pathologists in Predicting Survival after Colorectal Cancer Diagnosis
Colorectal cancer, the second most lethal cancer worldwide, exhibits varying behaviour even among in...
Scanner Type and Magnification Influence the Performance of Deep-learning Frameworks in Amyloid-β Detection
The use of machine learning algorithms to analyze whole slide images (WSIs) is set to transform vari...
Conversation with Julianna Ianni, Vice President of Artificial Intelligence Research and Development at Proscia
Julianna Ianni is VP of AI Research and Development at Proscia. She leads a team of engineers and sc...
SPIE Conference Part 5: New Transformer-based Computational Pipeline may Improve H&E to Multiplexed Immunohistochemistry Stain Translation
In a new study, researchers at the University of Manchester, UK, developed a new transformer-based c...