Original paper
A self-supervised feature-standardization-block for cross-domain lung disease classification
Abstract
With the advance of deep learning technology, convolutional neural network (CNN) has been wildly used and achieved the state-of-the-art performances in the area of medical image classification. However, most existing medical image classification methods conduct their experiments on only one public dataset. When applying a well-trained model to a different dataset selected from different sources, the model usually shows large performance...
Paper Details
Title
A self-supervised feature-standardization-block for cross-domain lung disease classification
Published Date
Jun 1, 2022
Journal
Volume
202
Pages
70 - 77
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