Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

20 May 2021

Yong Liu

Rick Siow Mong Goh

Papers citing "Medical Image Segmentation Using Squeeze-and-Expansion Transformers"

16 / 16 papers shown

Title
Integrating Edge Information into Ground Truth for the Segmentation of the Optic Disc and Cup from Fundus Images Yoga Sri Varshan V Hitesh Gupta Kattamuri Subin Sahayam Umarani Jayaraman 27 0 0 09 Aug 2024
A bioinspired three-stage model for camouflaged object detection Tianyou Chen Jin Xiao Xiaoguang Hu Guofeng Zhang Shaojie Wang 22 0 0 22 May 2023
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation G. Prasanna John Rohit Ernest G. Lalitha Sathiya Narayanan 21 3 0 13 May 2023
PAMI: partition input and aggregate outputs for model interpretation Wei Shi Wentao Zhang Weishi Zheng Ruixuan Wang FAtt 22 3 0 07 Feb 2023
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology Oliver Ester Fabian Horst C. Seibold J. Keyl Saskia Ting ... P. Ivanyi Viktor Grünwald J. Bräsen Jan Egger Jens Kleesiek 19 7 0 21 Oct 2022
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation Zhendi Gong Andrew P. French Guoping Qiu Xin Chen ViT MedIm 30 6 0 13 Oct 2022
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks Xiaofeng Lei Shaohua Li Xinxing Xu H. Fu Yong Liu ... Mingrui Tan Yanyu Xu Jocelyn Hui Lin Goh Rick Siow Mong Goh Ching-Yu Cheng 21 1 0 25 Sep 2022
3D Vision with Transformers: A Survey Jean Lahoud Jiale Cao F. Khan Hisham Cholakkal Rao Muhammad Anwer Salman Khan Ming Yang ViT MedIm 27 32 0 08 Aug 2022
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 33 58 0 17 Jun 2022
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume Jianye Pang Cheng Jiang Yihao Chen Jianbo Chang M. Feng Renzhi Wang Jianhua Yao ViT MedIm 28 11 0 14 Apr 2022
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow Xiuchao Sui Shaohua Li Xue Geng Yan Wu Xinxing Xu Yong Liu Rick Siow Mong Goh Hongyuan Zhu ViT 26 95 0 31 Mar 2022
Recent Advances in Vision Transformer: A Survey and Outlook of Recent Work Khawar Islam ViT 28 45 0 03 Mar 2022
JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection Huaqing He Li Lin Zhiyuan Cai Xiaoying Tang 14 11 0 01 Mar 2022
nnFormer: Interleaved Transformer for Volumetric Segmentation Hong-Yu Zhou J. Guo Yinghao Zhang Lequan Yu Liansheng Wang Yizhou Yu ViT MedIm 24 306 0 07 Sep 2021
Few-Shot Domain Adaptation with Polymorphic Transformers Shaohua Li Xiuchao Sui Jie Fu H. Fu Xiangde Luo Yangqin Feng Xinxing Xu Yong Liu Daniel Ting Rick Siow Mong Goh ViT MedIm 11 20 0 10 Jul 2021
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 199 344 0 22 Jan 2020