BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient
Medical Image Segmentation

BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation

29 June 2022

Kwang-Ting Cheng

Papers citing "BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation"

9 / 9 papers shown

Title
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation Wang Jiangtao Nur Intan Raihana Ruhaiyem Fu Panpan SSeg 195 0 0 09 Feb 2025
Learning to utilize image second-order derivative information for crisp edge detection Changsong Liu Wei Zhang Mingyang Li Yimeng Fan Yanyan Liu Y. Li W. Li L. Zhang 39 0 0 09 Jun 2024
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation Tao Wang Yuanbin Chen Xinlin Zhang Yuanbo Zhou Junlin Lan Bizhe Bai Tao Tan Min Du Qinquan Gao Tong Tong 24 0 0 17 Nov 2023
Transformers in Reinforcement Learning: A Survey Pranav Agarwal A. Rahman P. St-Charles Simon J. D. Prince Samira Ebrahimi Kahou OffRL 26 18 0 12 Jul 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,457 0 11 Nov 2021
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 95 174 0 15 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 106 208 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 76 96 0 12 Jul 2021
Convolution-Free Medical Image Segmentation using Transformers Davood Karimi Serge Vasylechko Ali Gholipour ViT MedIm 84 121 0 26 Feb 2021