Enhanced deep residual network for bone classification and abnormality detection.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: abnormality detection; bone; bone classification;
Abnormality Detection in Musculoskeletal Radiographs Using Capsule Network
Sign Up to like & getrecommendations! 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… read more here.
Keywords: musculoskeletal radiographs; abnormality detection; capsule network;
Abnormality Detection and Localization Schemes Using Molecular Communication Systems: A Survey
Sign Up to like & getrecommendations! 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… read more here.
Keywords: abnormality detection; detection localization; communication; detection ... See more keywords
In-Home Gait Abnormality Detection Through Footstep-Induced Floor Vibration Sensing and Person-Invariant Contrastive Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3413815
Abstract: Detecting gait abnormalities is crucial for assessing fall risks and early identification of neuromusculoskeletal disorders such as Parkinson's and stroke. Traditional assessments in gait clinics are infrequent and pose barriers, particularly for disadvantaged populations. Previous… read more here.
Keywords: gait; abnormality detection; home gait; floor ... See more keywords
Heart Sound Abnormality Detection From Multi-Institutional Collaboration: Introducing a Federated Learning Framework
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2024.3393557
Abstract: Objective: Early diagnosis of cardiovascular diseases is a crucial task in medical practice. With the application of computer audition in the healthcare field, artificial intelligence (AI) has been applied to clinical non-invasive intelligent auscultation of… read more here.
Keywords: heart; abnormality detection; heart sound; federated learning ... See more keywords
An Adaptive Low-Complexity Abnormality Detection Scheme for Wearable Ultrasonography
Sign Up to like & getrecommendations! 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… read more here.
Keywords: detection scheme; abnormality detection; detection; low complexity ... See more keywords
Le-LWTNet: A Learnable Lifting Wavelet Convolutional Neural Network for Heart Sound Abnormality Detection
Sign Up to like & getrecommendations! 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… read more here.
Keywords: abnormality detection; heart sound; heart;
TS-AC: Teacher–Student Model With Aggregation Masked Convolution and Concentrated Linear Attention for Chest CT Abnormality Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3600720
Abstract: Chest computed tomography (CT) has become an essential imaging modality in the early screening and clinical diagnosis of pulmonary diseases. Among its key tasks, abnormality detection has garnered increasing attention. Teacher–student (T–S) models trained solely… read more here.
Keywords: detection; linear attention; convolution; attention ... See more keywords
A Generic Waveform Abnormality Detection Method for Utility Equipment Condition Monitoring
Sign Up to like & getrecommendations! 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… read more here.
Keywords: detection; equipment; waveform abnormality; method ... See more keywords