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Slab-Specific Projection-Resolved Optical Coherence Tomography Angiography for Enhancing En Face Polyp Detection in Polypoidal Choroidal Vasculopathy.
Invest Ophthalmol Vis Sci
January 2025
Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Purpose: A projection-resolved optical coherence tomography angiography (PR-OCTA) algorithm with slab-specific strategy was applied in polypoidal choroidal vasculopathy (PCV) to differentiate between polyp and branching vascular network (BVN) and improve polyp detection by en face OCTA.
Methods: Twenty-nine participants diagnosed with PCV by indocyanine green angiography (ICGA) and 30 participants diagnosed with typical neovascular age-related macular degeneration (nAMD) were enrolled. Polyps were classified into three categories after using the slab-specific PR algorithm.
Pitfalls of the E-Ref Procedure: Tie Values and the Proportion of the Abnormal Data.
Muscle Nerve
January 2025
Department of Neurology, Teikyo University School of Medicine, Tokyo, Japan.
Introduction: Extrapolated reference values (E-Ref) procedure is a new method for determining the cutoff value without collecting the control data. We tried to apply this method to determine the cutoff value for the distal motor latency of the median nerve (median DML). During this process, we found two pitfalls of the E-Ref method.
View Article and Find Full Text PDFDesign of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning.
Heliyon
December 2024
Department of Computer Science & Engineering, K L E F Deemed To Be University, Green Fields, Vaddeswaram, Guntur (dt), Andhra Pradesh, 521230, India.
Real-time monitoring and anomaly detection are essential in healthcare to ensure safe conditions for patients and maintain the integrity of medical data samples. The majority of existing systems, despite improvements in healthcare technologies, cannot capture the spatial and temporal patterns of multimodal data simultaneously, process high Volume data in real-time, and ensure the privacy of patients' identity effectively. In this work, we handle these limitations by proposing a complete approach that uses state-of-the-art deep learning and data processing architectures to realize resilient anomaly detection in healthcare systems.
View Article and Find Full Text PDFAssessment of Coronary Microcirculation with High Frame-Rate Contrast-Enhanced Echocardiography.
Ultrasound Med Biol
January 2025
Biomedical Engineering, Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands; Medical Imaging, Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands. Electronic address:
Objective: Assessing myocardial perfusion in acute myocardial infarction is important for guiding clinicians in choosing appropriate treatment strategies. Echocardiography can be used due to its direct feedback and bedside nature, but it currently faces image quality issues and an inability to differentiate coronary macro- from micro-circulation. We previously developed an imaging scheme using high frame-rate contrast-enhanced ultrasound (HFR CEUS) with higher order singular value decomposition (HOSVD) that provides dynamic perfusion and vascular flow visualization.
View Article and Find Full Text PDFEnhanced detection for antibiotic resistance genes in wastewater samples using a CRISPR-enriched metagenomic method.
Water Res
December 2024
Department of Civil and Environmental Engineering, The Grainger College of Engineering, University of Illinois Urbana-Champaign, IL, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, IL, USA; Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, IL, USA.
The spread of antibiotic resistance genes (ARGs) in the environment is a global public health concern. To date, over 5000 genes have been identified to express resistance to antibiotics. ARGs are usually low in abundance for wastewater samples, making them difficult to detect.
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