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Influence of augmentation on the performance of double ResNet-based model for chest X-rays classification
5
Zitationen
5
Autoren
2023
Jahr
Abstract
Our experiment proved that augmentations and masking could be important steps of data pre-processing and could contribute to improvement of the evaluation metrics. Because medical professionals often tend to lack confidence in AI-based tools, we have designed the proposed model so that its results would be explainable and could play a supporting role for radiology specialists in their work.
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