Can I read ResUNet++ for Polyp Segmentation on EtoBox?
ResUNet++ for Polyp Segmentation by Shlok Agarwal is a document available to read on EtoBox.
What is ResUNet++ for Polyp Segmentation about?
The document presents ResUNet++, an advanced architecture for medical image segmentation aimed at improving polyp detection during colonoscopy. It demonstrates superior performance over existing models like U-Net and ResUNet, achieving high evaluation scores on publicly available datasets. The authors also introduce the Kvasir-SEG dataset, annotated by experts, to support further research in this area.
- Author
- Shlok Agarwal
- Language
- EN