International
Open Data for Digital Pathology
Digital pathology is rapidly growing and also evolving, with many new innovations and capabilities appearing weekly. This is nowhere more evident than on the exhibit floor and in the presentations at Tri-Con, AACR, USCAP, or even last month’s...
The Role of AI in Cancer Grading – Prostate Cancer Test Case
- Anatomic Pathology
- Artificial Intelligence
- Clinical Laboratories
- Device Manufacturers
- Digital Pathology News
- Health Technology Collaboration
- Histology
- Image Analysis
- Informatics
- International
- Laboratory Informatics
- Medical Research
- New Digital Imaging Technologies
- Pathology News
- Reports
- Science
- Vendor products
- Web/Tech
- Whole slide
Courtesy of IBEX Cancer is a leading cause of death globally and one of the main challenges modern healthcare is facing. According to the World Health Organization, the number of new cancer cases is expected to grow by 70% over the next two...
Waterloo, Ontario – University of Waterloo's Kimia Lab announced today that it will participate in the $126 million Industry Consortium for Image Guided Therapy (ICIGT) led by the Sunnybrook Research Institute, with investment...
The platform facilitates a worst-case-first reviewing process, which improves workflow management for pathologists and ensures that critical patients are prioritized Based on its recent analysis of the European prostate cancer screening...
3DHISTECH WEBINAR ANNOUNCEMENT – Digital Slide Viewing Solutions fo...
- Anatomic Pathology
- Clinical Laboratories
- Data Management
- Device Manufacturers
- Digital Pathology News
- Education
- File format
- Health Technology Collaboration
- Informatics
- International
- Laboratory Informatics
- Medical Research
- New Digital Imaging Technologies
- Pathology News
- Science
- Storage
- TeleHealth
- Vendor products
- Web/Tech
- Webinars
- Whole slide
Presented by Ákos Ágyi, PhD, Product Manager, 3DHISTECH. Join us for this complimentary webinar to understand how 3DHISTECH’s digital slide viewing solutions contribute to accurate diagnosis in routine pathology, reliable research...
Digital pathology is undergoing a revolutionary change with the introduction of state-of-the-art pattern recognition via/with deep learning. The transition from feature engineering and classical machine learning to end-to-end deep learning have...































