Abstract: Image analysis provides richer, more intuitive, and easily understandable insights, making it an increasingly indispensable tool in business. The exponential growth of image data has ...

Abstract: The integration of artificial intelligence (AI) with radiology signifies a transformative era in medicine. Vision foundation models have been adopted to enhance radiologic imaging analysis.

October 29, 2025—Elucid announced the launch of its PlaqueIQ image analysis software for the quantification and classification of plaque morphology in the carotid arteries. According to the company, ...

Fast, high-throughput quantification of multiplex immunofluorescence or immunohistochemistry staining in clinical specimens (tissue microarrays, whole tissue sections) by molecular ...

Investigators rely on particle characterization methods to gain a deeper understanding of key properties that influence both the manufacturing process and the quality of the final product. As ...

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...

Morphological cell analysis offers a means of identification and classification of key morphological measurement parameters linked to cell bioactivity and cell health and, as such, it is of great ...

This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

Google has added image search capabilities to AI Mode in Search. You can upload pictures and ask questions about them. AI Mode is being rolled out to more users in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this article, we introduce a diagnostic platform comprising an optical microscopy ...