Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.
AI learns to track tiny heart arteries in X-rays, jumping from near failure to reliable detection in complex scans.
Abstract: Medical image segmentation necessitates the collection and integration of segmentation opinions from multiple experts to minimize individual subjective biases and provide reliable ...
Earthquake sensors on the ocean floor were built to track tectonic plates, but scientists just discovered they have been ...
A new artificial intelligence (AI) framework offers a more reliable way to restore partially hidden objects in satellite ...
The technology has some promising applications, but is not ready for whole body cancer screening and will not replace other imaging tools.
Terahertz Imaging Detection Market Report 2026–2032: market size to reach US$951.95 million by 2032 at 13.79% CAGR.
IFLScience recently spoke with Professor Florian Markowetz, Professor of Computational Oncology at the University of ...
Artificial intelligence is rapidly transforming global economies, governments, and daily life in an "acceleration era." AI is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results