article Open AccessTop 1% cited
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Applied Soft Computing · 2020 · Vol. 98 · pp. 106912–106912
Muhammet Fatih Aslan✉(Karamanoğlu Mehmetbey University)Muhammed Fahri Ünlerşen(Necmettin Erbakan University)Kadir Sabancı(Karamanoğlu Mehmetbey University)Akif Durdu(Konya Technical University)
COVID-19 diagnosis using AIAI in cancer detectionAnomaly Detection Techniques and ApplicationsComputer sciencePreprocessorTransfer of learningCoronavirus disease 2019 (COVID-19)Deep learningArtificial intelligenceArchitectureSegmentationArtificial neural networkPattern recognition (psychology)
Citations
354
FWCI
29.95
field-weighted impact
References
82
Percentile
100%
vs. same field & year
Citations per year
References
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
Framewise phoneme classification with bidirectional LSTM and other neural network architectures
Neural Networks · 2005 · 5,322 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Bidirectional LSTM with attention mechanism and convolutional layer for text classification
Neurocomputing · 2019 · 1,101 citations
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
Radiology · 2020 · 1,516 citations
Can AI Help in Screening Viral and COVID-19 Pneumonia?
IEEE Access · 2020 · 1,871 citations
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
Scientific Reports · 2020 · 3,112 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.