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Computer vision
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=== Medicine === [[File:DARPA Visual Media Reasoning Concept Video.ogv|thumb|[[DARPA]]'s Visual Media Reasoning concept video]] One of the most prominent application fields is [[medical computer vision]], or medical image processing, characterized by the extraction of information from image data to [[Computer-assisted diagnosis|diagnose a patient.]]<ref>{{Cite journal |last1=Li |first1=Mengfang |last2=Jiang |first2=Yuanyuan |last3=Zhang |first3=Yanzhou |last4=Zhu |first4=Haisheng |date=2023 |title=Medical image analysis using deep learning algorithms |journal=Frontiers in Public Health |volume=11 |pages=1273253 |doi=10.3389/fpubh.2023.1273253 |doi-access=free |issn=2296-2565 |pmc=10662291 |pmid=38026291|bibcode=2023FrPH...1173253L }}</ref> An example of this is the detection of [[tumour]]s, [[arteriosclerosis]] or other malign changes, and a variety of dental pathologies; measurements of organ dimensions, blood flow, etc. are another example. It also supports medical research by providing new information: ''e.g.'', about the structure of the brain or the quality of medical treatments. Applications of computer vision in the medical area also include enhancement of images interpreted by humans—[[Ultrasound|ultrasonic images]] or [[Radiography|X-ray images]], for example—to reduce the influence of noise.
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