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Subsequently, the dual-branch encoder executes the feature extraction process on the input image, followed by the recovery and reconstruction of the extracted features via the CNN decoder. Ultimately, ...

Sclera segmentation is revealed to be of noteworthy importance for ocular biometrics. The paramount step for biometric recognition methods is the segmentation of the area of interest, i.e., the sclera ...

The encoder processes the input data to form a context, which the decoder then uses to produce the output. This architecture is common in both RNN-based and transformer-based models.

Conclusion: This retrospective single-center study showed that the CNN-based models had good performance on automatic segmentation of CEUS images for renal tumors, especially the UNet++ model. The ...

The decoder-network of l,r-PanoED adaptively reconstructs the output panoramic-view from the encoder networks' bottle-neck feature-maps. The proposed l,r-Stitch Unit has been rigorously benchmarked ...

We are very impressed with the quality of Illumina’s SNP platform and look forward to working with such an agile and effective partner to bring to market a new generation of DNA-based diagnostics,” ...