Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

Circle detection algorithms form a fundamental pillar in computer vision, enabling the identification of circular features across a wide range of applications from automated industrial inspection to ...

Without spam detection many of us would spend hours managing the daily load of e-mails. Nina Balcan develops machine learning methods that could be used to develop personalized automatic programs for ...

The U.S. Department of Homeland Security (DHS) announced today the release of a DHS-developed detection tool that can be used by the federal government, commercial vendors, state and local governments ...

A research article published yesterday in PLoS ONE revealed promising work done by a Stanford University research team who has been using software to help parse information generated by brain scans, ...

A research team in China has developed a novel real-time shadow detection method for PV modules. It uses computer vision for the task, with techniques that enhance the information of the live feed to ...

CHICAGO – Computer-assisted detection used in most U.S. mammograms adds no benefit to breast cancer screening while substantially increasing costs, a large study suggests. Some previous research said ...

Similar average advanced colorectal neoplasia per colonoscopy seen with CADe-enhanced and conventional colonoscopy. HealthDay News — Compared with conventional colonoscopy, computer-aided detection ...

Radiation detection systems are comprised of a large number of fixed and mobile radiation detectors used for safety and security purposes for nuclear power energy production, nuclear fuel cycle ...