The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

An artificial intelligence (AI)-based model accurately classified pediatric sarcomas using digital pathology images alone, ...

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a ...

The ROIs can then be filtered, manipulated and finally painted to an RGBA image. This library is able to deal with complex analysis involving images of cell or SEM / TEM. It will deal correctly with ...

Department of Physicochemical Drug Analysis, Faculty of Pharmacy, Jagiellonian University Medical College, 30-688 Krakow, Poland Doctoral School of Medical and Health Sciences, Jagiellonian University ...

Introduction: Deep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science ...

Upper-division classes focus on high-speed photography, micrography, ophthalmic imaging, and image analysis/quality ... and help to advance our understanding–in biology and biomedical sciences, ...

Image analysis by a fit procedure has so far been much slower than data acquisition. Here we report a software program that speeds up fluorophore localization by a factor of ∼200 while ...

"This approach could fundamentally reinvent data analysis in biomedical research and beyond. By allowing researchers to conduct sophisticated analyses without requiring advanced programming skills ...