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Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15966
Abstract: PURPOSE A two-stage deep learning framework for bone classification and abnormality detection is proposed based on X-rays. The primary focus is on improving the speed of orthopedic disease diagnosis and helping physicians reduce the probability…
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Keywords:
abnormality detection;
bone;
bone classification;
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2923008
Abstract: To treat the diseases or injuries of the joints, bones, muscles, and spine in both adult and pediatric imaging the musculoskeletal radiographs bring a significant depth of expertise. Abnormality detection in the musculoskeletal study is…
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Keywords:
musculoskeletal radiographs;
abnormality detection;
capsule network;
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3228618
Abstract: Abnormality detection and localization (ADL) have been studied widely in wireless sensor networks (WSNs) literature, where the sensors use electromagnetic waves for communication. Molecular communication (MC) has been introduced as an alternative approach for ADL…
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Keywords:
abnormality detection;
detection localization;
communication;
detection ... See more keywords
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Published in 2019 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2018.2881612
Abstract: Doppler ultrasonography (DUS) is widely used in medical diagnosis due to its low-cost, non-invasive nature, and real-time operation. Its applications have further expanded with the emergence of point-of-care and wearable devices, the demand for which…
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Keywords:
detection scheme;
abnormality detection;
detection;
low complexity ... See more keywords
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Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3246513
Abstract: Automatic heart sound abnormality detection plays a vital role in the preliminary diagnosis of cardiovascular diseases (CVDs). Many handcraft-designed or learning-based methods have been proposed in recent years. However, due to the influence of the…
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Keywords:
abnormality detection;
heart sound;
heart;
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Published in 2017 at "IEEE Transactions on Power Delivery"
DOI: 10.1109/tpwrd.2016.2580663
Abstract: In recent years, power quality (PQ) disturbance data are increasingly applied to extract useful information about the condition of power systems, such as monitoring incipient equipment failures. A prerequisite for such applications is the ability…
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Keywords:
detection;
equipment;
waveform abnormality;
method ... See more keywords