Computer-aided diagnosis of pituitary microadenoma on dynamic contrast-enhanced MRI based on spatio-temporal features
Abstract: Highlights•Multiscale feature selection module to address the loss of feature information.•The Dual-path Semantic Segmentation Module solves the problem of precision loss.•Reuse the underlying information to overcome difficult detection of small targets.•Improving accuracy compared to U-NET series methods on a private dataset.
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