AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images
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DOI: 10.3390/diagnostics12122952
Abstract: Semantic segmentation of biomedical images found its niche in screening and diagnostic applications. Recent methods based on deep learning convolutional neural networks have been very effective, since they are readily adaptive to biomedical applications and… read more here.
Keywords: segmentation; architecture; biomedical images; segmentation biomedical ... See more keywords