Optimizing Universal Lesion Segmentation: State Space Model-Guided
Hierarchical Networks with Feature Importance Adjustment

Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment

26 April 2024

Kazi Shahriar Sanjid

Md. Tanzim Hossain

Md. Shakib Shahariar Junayed

Papers citing "Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment"

8 / 8 papers shown

Title
Visual Mamba: A Survey and New Outlooks Rui Xu Shu Yang Yihui Wang Yu Cai Bo Du Hao Chen Mamba 35 21 0 29 Apr 2024
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation Henghui Ding Chang Liu Suchen Wang Xudong Jiang 54 86 0 28 Oct 2022
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 123 79 0 06 Dec 2021
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Zhao Yang Jiaqi Wang Yansong Tang Kai-xiang Chen Hengshuang Zhao Philip H. S. Torr 117 308 0 04 Dec 2021
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss Youbao Tang Jinzheng Cai K. Yan Lingyun Huang Guotong Xie Jing Xiao Jingjing Lu Gigin Lin Le Lu 28 25 0 03 May 2021
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 34 185 0 11 Jun 2018
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 243 1,817 0 18 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015