Rethinking Information Loss in Medical Image Segmentation with
Various-sized Targets

Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets

28 March 2024

Kaizhu Huang

Papers citing "Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets"

7 / 7 papers shown

Title
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation Zixian Su Kai Yao Xi Yang Qiufeng Wang Yuyao Yan Jie Sun Kaizhu Huang 27 4 0 24 May 2022
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 87 168 0 15 Sep 2021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer Haonan Wang Peng Cao Jiaqi Wang Osmar R. Zaiane MedIm ViT 121 692 0 09 Sep 2021
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation Bingzhi Chen Yishu Liu Zheng-Wei Zhang Guangming Lu A. W. Kong MedIm ViT 101 204 0 12 Jul 2021
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation Yao Chang Menghan Hu Zhai Guangtao Xiao-Ping Zhang MedIm ViT 68 96 0 12 Jul 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 869 0 16 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015