DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation

2 February 2022

Papers citing "DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation"

8 / 8 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 76 0 0 09 Feb 2025
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation Ngoc-Du Tran Thi-Thao Tran Quang-Huy Nguyen Manh-Hung Vu Van-Truong Pham MedIm ViT 33 1 0 04 Apr 2024
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention Hao Shao Quansheng Zeng Qibin Hou Jufeng Yang 36 9 0 14 Dec 2023
SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation Tan-Hanh Pham Xianqi Li Kim-Doang Nguyen MedIm ViT 6 8 0 16 Oct 2023
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning Junyu Chen E. Asma Chung Chan 14 4 0 29 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 119 692 0 09 Sep 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,544 0 19 Feb 2017