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RUPNet: residual upsampling network for real-time polyp segmentation., , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network., , , and . CBMS, page 317-322. IEEE, (2022)TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation., , , , and . CoRR, (2022)TGANet: Text-Guided Attention for Improved Polyp Segmentation., , , and . MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 151-160. Springer, (2022)Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans., , , , , , , , , and . CoRR, (2023)Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge., , , , , , , , , and 22 other author(s). CoRR, (2022)ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes., , , , , , , and . IEEE Access, (2023)FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation., , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 34 (11): 9375-9388 (November 2023)FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation., , , , , , , and . CoRR, (2021)TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing., , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 1372-1384. PMLR, (2023)