Publikacje
Found 7 results
Filters: Keyword is Deep learning and Autor is Pawel Plawiak [Clear All Filters]
ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. Information Sciences. 619
.
2023. SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19. Biocybernetics and Biomedical Engineering. 43
.
2023. Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model.. International Journal of Imaging Systems and Technology. 32
.
2022. A novel end-to-end deep learning approach for cancer detection based on microscopic medical images.. Biocybernetics and Biomedical Engineering. 42
.
2022. Automated detection of shockable ECG signals: A review. Elsevier, Information Sciences. (3.76 MB)
.
2021. BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Elsevier, Information Sciences. 577 (4.62 MB)
.
2021. DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Elsevier, Information Sciences. 516:401-418. (1.21 MB)
.
2020.