LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation

4 April 2024

Papers citing "LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation"

7 / 7 papers shown

Title
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation Qing Xu Zhicheng Ma Nana He Wenting Duan SSeg OOD 33 225 0 02 Feb 2022
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 204 395 0 24 Jan 2022
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 117 692 0 09 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 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 3,538 0 24 Feb 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015