Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion.
Biomed Signal Process Control
; 68: 102583, 2021 Jul.
Article
en En
| MEDLINE
| ID: mdl-33828610
AP, Average Pooling; AUC, Area Under the Curve; BN, Batch Normalization; BS, Batch Size; CAD, Computer-Aided Diagnosis; CCE, Categorical Cross-Entropy; CNN, Convolutional Neural Networks; CT, Computer Tomography; CV, Computer Vision; CXR, Chest X-Rays; Chest x-rays; Computer-aided diagnosis; Covid-19; DCNN, Deep Convolutional Neural Networks; DL, Deep Learning; DR, Dropout Rate; Deep learning; Densely connected neural networks; GAP, Global Average Pooling; GRAD-CAM, Gradient-Weighted Class Activation Maps; JPG, Joint Photographic Group; LR, Learning Rate; MP, Max-Pooling; P-R, Precision-Recall; PEPX, Projection-Expansion-Projection-Extension; ROC, Receiver Operating Characteristic; ReLU, Rectified Linear Unit; SGD, Stochastic Gradient Descent; WHO, World Health Organization; rRT-PCR, real-time Reverse-Transcription Polymerase Chain Reaction
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
Biomed Signal Process Control
Año:
2021
Tipo del documento:
Article
País de afiliación:
Filipinas
Pais de publicación:
Reino Unido