Narrowed and blocked arteries can now be diagnosed faster and more accurately with the help of special computer-aided image analysis techniques. This advance was made possible by the development of ...

Wood species identification using image analysis techniques represents a burgeoning field that integrates advanced imaging technologies with machine learning algorithms to address critical challenges ...

How well do the algorithms used in the AI-supported analysis of medical images perform their respective tasks? This depends to a large extent on the metrics used to evaluate their performance. An ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning ...

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to determine the porosity of fibrous materials using a single image taken with ...

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A microphysiological system is a 3D in vitro model that mimics human tissue environments with high physiological relevance. This approach enhances our understanding of disease mechanisms, drug ...

Nuclear imaging for industrial process analysis and non-destructive component testing has been around for longtime, but progression and innovation in this field has been limited and not as advanced ...

Established methods for delineating anthropogenic and natural strata during fieldwork are based on the visual and tactile perception of excavators. Modern image analysis techniques can help to ensure ...

A recent article in Scientific Reports detailed the characterization of disordered structures in graphene and monolayer hexagonal boron nitride (hBN) induced by low-energy argon ion irradiation. The ...