Deep learning-mediated prediction of concealed accessory pathway based on sinus rhythmic electrocardiograms. [PDF]
In the present study, six state‐of‐art convolutional neural networks models were trained with electrocardiography (ECG) images of concealed accessory pathway (AP) patients and control patients. This study provided a low‐cost, rapid, and noninvasive method to diagnose patients with concealed AP with normal sinus rhythmic ECG images.
Wang L +6 more
europepmc +2 more sources
Editorial for the Special Issue "Medical Data Processing and Analysis-2nd Edition". [PDF]
Mustafa WA, Alquran H.
europepmc +1 more source
Knowledge, attitudes, and practices regarding breast self-examination among female schoolteachers in Northern Jordan. [PDF]
Hamadneh M, Alquran A.
europepmc +1 more source
Development of spreading symmetric two-waves motion for a family of two-mode nonlinear equations. [PDF]
Alquran M +4 more
europepmc +1 more source
Deep learning models for segmenting phonocardiogram signals: a comparative study. [PDF]
Alquran H +3 more
europepmc +1 more source
Comparative analysis of cervical cancer classification of DPAGCHE-enhanced Pap smear images using convolutional neural network models. [PDF]
Khiruddin K +5 more
europepmc +1 more source
Has Your Physician Heard of Williams-Beuren Syndrome? [PDF]
Alquran L, Mallipudi RM.
europepmc +1 more source
A Novel Network-Level Fused Self-Attention Deep Neural Network for Cervical Cancer Classification from Cervicography Images. [PDF]
Attique Khan M +7 more
europepmc +1 more source
Exploring Policies, Strategies, and Legislations Related to the One Health Approach to Zoonoses, Antimicrobial Stewardship, and Climate Change in Jordan: A Multimethod Study with SWOT Analysis. [PDF]
Zayed DK +14 more
europepmc +1 more source
Interpretable non-invasive glucose monitoring: an attention-based deep learning framework for visualizing hemodynamic correlates in PPG signals. [PDF]
Syamsul R, Dong-Seong K.
europepmc +1 more source

