ColonNeXt: Fully Convolutional Attention for Polyp Segmentation.
This study introduces ColonNeXt, a novel fully convolutional attention-based model for polyp segmentation from colonoscopy images, aimed at the enhancing early detection of colorectal cancer. Utilizing a purely convolutional neural network (CNN), ColonNeXt integrates an encoder-decoder structure wit...
| Publicado en: | Journal of Imaging Informatics in Medicine Vol. 38; no. 4; pp. 2194 - 2210 |
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| Autores principales: | , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |