首页|Research on Machine Learning Reported by a Researcher at University of Hertfordshire (Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices)
Research on Machine Learning Reported by a Researcher at University of Hertfordshire (Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices)
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NETL
NSTL
Fuji Technology Press Ltd
New research on artificial intelligence is the subject of a new report. According to news originating from Hertfordshire, United Kingdom, by NewsRx editors, the research stated, “In recent times, medical imaging has become a significant component of clinical diagnosis and examinations to detect and evaluate various medical conditions.” The news correspondents obtained a quote from the research from University of Hertfordshire: “The interpretation of these medical examinations and the patient's demographics are usually textual data, which is burned in on the pixel content of medical imaging modalities (MIM). Example of these MIM includes ultrasound and X-ray imaging. As artificial intelligence advances for medical applications, there is a high demand for the accessibility of these burned-in textual data for various needs. This article aims to review the significance of burned-in textual data recognition in MIM and recent research regarding the machine learning approach, challenges, and open issues for further investigation on this application.”
University of HertfordshireHertfordshireUnited KingdomEuropeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
Fuji Technology Press Ltd
