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resnet50 based deep transfer learning technique  (Ayrton Drugs)
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Ayrton Drugs resnet50 based deep transfer learning technique
Results of CNN models without Fast.AI.
Resnet50 Based Deep Transfer Learning Technique, supplied by Ayrton Drugs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Results of CNN models without Fast.AI.

Journal: Scientific Reports

Article Title: Detection and analysis of COVID-19 in medical images using deep learning techniques

doi: 10.1038/s41598-021-99015-3

Figure Lengend Snippet: Results of CNN models without Fast.AI.

Article Snippet: Ayrton presented ResNet50 based deep transfer learning technique and reported the validation accuracy of 96.2% with a small dataset of 339 images for training and testing.Wang proposed five pre-trained deep learning models, which the Xception model showed a relatively ideal effect, and the accuracy reached 96.75%.

Techniques:

Results of CNN models with Fast.AI.

Journal: Scientific Reports

Article Title: Detection and analysis of COVID-19 in medical images using deep learning techniques

doi: 10.1038/s41598-021-99015-3

Figure Lengend Snippet: Results of CNN models with Fast.AI.

Article Snippet: Ayrton presented ResNet50 based deep transfer learning technique and reported the validation accuracy of 96.2% with a small dataset of 339 images for training and testing.Wang proposed five pre-trained deep learning models, which the Xception model showed a relatively ideal effect, and the accuracy reached 96.75%.

Techniques:

Model Fast.AI ResNet50 and Fast.AI ResNet152 for COVID/non-COVID on CT-scan dataset.

Journal: Scientific Reports

Article Title: Detection and analysis of COVID-19 in medical images using deep learning techniques

doi: 10.1038/s41598-021-99015-3

Figure Lengend Snippet: Model Fast.AI ResNet50 and Fast.AI ResNet152 for COVID/non-COVID on CT-scan dataset.

Article Snippet: Ayrton presented ResNet50 based deep transfer learning technique and reported the validation accuracy of 96.2% with a small dataset of 339 images for training and testing.Wang proposed five pre-trained deep learning models, which the Xception model showed a relatively ideal effect, and the accuracy reached 96.75%.

Techniques: Computed Tomography

Deep learning methods and techniques used in COVID-19.

Journal: Scientific Reports

Article Title: Detection and analysis of COVID-19 in medical images using deep learning techniques

doi: 10.1038/s41598-021-99015-3

Figure Lengend Snippet: Deep learning methods and techniques used in COVID-19.

Article Snippet: Ayrton presented ResNet50 based deep transfer learning technique and reported the validation accuracy of 96.2% with a small dataset of 339 images for training and testing.Wang proposed five pre-trained deep learning models, which the Xception model showed a relatively ideal effect, and the accuracy reached 96.75%.

Techniques: Labeling

Best result of our models for X-ray and CT scan images.

Journal: Scientific Reports

Article Title: Detection and analysis of COVID-19 in medical images using deep learning techniques

doi: 10.1038/s41598-021-99015-3

Figure Lengend Snippet: Best result of our models for X-ray and CT scan images.

Article Snippet: Ayrton presented ResNet50 based deep transfer learning technique and reported the validation accuracy of 96.2% with a small dataset of 339 images for training and testing.Wang proposed five pre-trained deep learning models, which the Xception model showed a relatively ideal effect, and the accuracy reached 96.75%.

Techniques: Computed Tomography