HIGHLIGHTS
- What: The authors assess the GSANet model`s performance on two demanding medical image segmentation tasks DRIVE and ISIC2018. To address these issues, the authors propose model called GSANet. The attention block improves segmentation accuracy by allowing the model to focus more on key information in the images. In the subsequent sections, the authors provide an elaborate description of the proposed deep learning model and its innovative modules.
- Who: Zifeng Wang and collaborators from the Hefei University, School of Artificial Intelligence and Big data, Hefei, Anhui, China have published the paper: GSANet: Enhancing accuracy in . . .
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