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Anatomically Constrained Neural Networks ACNNs Application To Cardiac Image Enhancement and Segmentation by Shiny Hillary is a document available to read on EtoBox.

What is Anatomically Constrained Neural Networks ACNNs Application To Cardiac Image Enhancement and Segmentation about?

The document presents Anatomically Constrained Neural Networks (ACNNs) aimed at enhancing and segmenting cardiac images by incorporating anatomical prior knowledge into neural networks. This approach improves the accuracy and robustness of image analysis, particularly in cases where images are corrupted or contain artefacts. The proposed method demonstrates state-of-the-art results on multi-modal cardiac datasets, showing its effectiveness in both segmentation and super-resolution tasks.

Author

Shiny Hillary

Language

EN