GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation

27 April 2024

Papers citing "GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation"

27 / 27 papers shown

Title
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming-Hsuan Yang Fahad Shahbaz Khan VLM 120 125 0 25 Jul 2023
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation Moein Heidari Amirhossein Kazerouni Milad Soltany Kadarvish Reza Azad Ehsan Khodapanah Aghdam Julien Cohen-Adad Dorit Merhof MedIm ViT 89 191 0 18 Jul 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 159 5,171 0 10 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 117 1,125 0 04 Jan 2022
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation Yunhe Gao Mu Zhou Dimitris N. Metaxas MedIm ViT 76 430 0 02 Jul 2021
CAT: Cross Attention in Vision Transformer Hezheng Lin Xingyi Cheng Xiangyu Wu Fan Yang Dong Shen Zhongyuan Wang Qing Song Wei Yuan ViT 56 153 0 10 Jun 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 129 2,898 0 12 May 2021
CvT: Introducing Convolutions to Vision Transformers Haiping Wu Bin Xiao Noel Codella Mengchen Liu Xiyang Dai Lu Yuan Lei Zhang ViT 152 1,909 0 29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 447 21,418 0 25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 173 1,607 0 18 Mar 2021
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer Wenxuan Wang Chen Chen Meng Ding Jiangyun Li Hong Yu Sen Zha ViT MedIm 86 723 0 07 Mar 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 527 3,722 0 24 Feb 2021
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation Jeya Maria Jose Valanarasu Poojan Oza Ilker Hacihaliloglu Vishal M. Patel ViT MedIm 103 988 0 21 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 98 3,479 0 08 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 302 2,514 0 04 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 384 6,762 0 23 Dec 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng Asoke K. Nandi SSeg OOD 77 567 0 28 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu Guotai Wang Tao Song Rui Huang Michael Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang SSeg 103 467 0 22 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 152 639 0 02 Aug 2020
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation Huimin Huang Lanfen Lin Ruofeng Tong Hongjie Hu Qiaowei Zhang Yutaro Iwamoto Xianhua Han Yenwei Chen Jian Wu SSeg 65 1,798 0 19 Apr 2020
Multi-scale self-guided attention for medical image segmentation Ashish Sinha Jose Dolz SSeg 66 416 0 07 Jun 2019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data F. Diakogiannis F. Waldner P. Caccetta Chen Wu SSeg 117 1,327 0 01 Apr 2019
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 92 1,045 0 27 Oct 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 159 5,042 0 11 Apr 2018
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 297 20,003 0 07 Oct 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 221 8,681 0 15 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 741 37,846 0 20 May 2016