نتایج جستجو برای: medical diagnostic computing
تعداد نتایج: 1260818 فیلتر نتایج به سال:
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magnetic resonance imaging (mri) is a notable medical imaging technique that makes of phenomenon of nuclear magnetic resonance. because of the resolution and the technology being harmless, mri has considered as the most desirable imaging technique in clinical applications. the visual quality of mri plays an important role in accuracy of medical delineations that can be seriously degraded by exi...
currently, different highly sensitive nucleic acid detection-based protocols used in medical diagnostic laboratories need specific working conditions, and if no optimization is performed, misleading results can be obtained. limitations of each protocol is different in obtaining an appropriate result. awareness of these limitations plays an important role in providing a reliable result for physi...
Ongoing developments in computing and data acquisition, along with continuous advances medical imaging technology, computational modelling, robotics visualization have revolutionized many specialties and, particular, diagnostic interventional cardiology [...]
the application of magnetic resonance to diagnostic medical imaging stands as one of the great scientific achievements in the past 50 years. magnetic resonance techniques are easily applied to organs which remain stationary during the imaging procedure, such as the brain and musculoskeletal system. imaging of moving heart structures and circulating blood is considerably more difficult. clinic...
Ultrasound is one of the leading medical imaging modalities because it is safe, noninvasive, portable, easy to use, relatively inexpensive and displays images in real-time. Due to its real-time nature, an ultrasound machine must be able to process its incoming data quickly. High computational and throughput requirements in modern ultrasound machines have restricted their internal design to algo...
Breast thermography is a promising medical imaging technique for the detection of breast cancer. However, providing robust and portable computer-aided diagnostic system remains tedious task. In this paper, based on developed implemented Raspberry Pi 4 using cloud computing services to provide power needed machine learning algorithms. Image processing techniques such as pre-processing segmentati...
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