FCN-Transformer Feature Fusion for Polyp Segmentation

17 August 2022

Papers citing "FCN-Transformer Feature Fusion for Polyp Segmentation"

9 / 9 papers shown

Title
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends Jiaxin Mei Tao Zhou Kaiwen Huang Yizhe Zhang Yi Zhou Ye Wu Huazhu Fu 149 12 0 20 Jan 2025
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Yimu Pan Sitao Zhang Alison D. Gernand Jeffery A. Goldstein J. Z. Wang 70 1 0 17 Dec 2024
Multi-scale Information Sharing and Selection Network with Boundary Attention for Polyp Segmentation Xiaolu Kang Zhuoqi Ma Kang Liu Yunan Li Qiguang Miao 32 3 0 18 May 2024
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection Daniel Lakey Tim Schlippe 17 2 0 19 Mar 2024
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 17 3 0 07 Feb 2023
FCB-SwinV2 Transformer for Polyp Segmentation Kerr Fitzgerald B. Matuszewski ViT MedIm 13 12 0 02 Feb 2023
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects Ange Lou Shuyue Guan Hanseok Ko Murray H. Loew 139 191 0 16 Aug 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,604 0 24 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 883 0 16 Feb 2021