Improving feature extraction from histopathological images through a fine-tuning ImageNet model
Background: Due to lack of annotated pathological images, transfer learning has been the predominant approach in the field of digital pathology. Pre-trained neural networks based on ImageNet database are often used to extract "off-the-shelf" features, achieving great success in predicting...
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Format: | Book |
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Elsevier,
2022-01-01T00:00:00Z.
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A1234.567 |
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