@inproceedings{fdc63860e63c4803ae9c4b3dc98fa3fb,
title = "MedSegViG: Medical Image Segmentation with a Vision Graph Neural Network",
abstract = "Medical image segmentation is a crucial step toward automatic clinical diagnosis, which has received growing interest. Although some existing methods based on convolutional neural networks or transformers have achieved remarkable success in this task, they still show limitations in effectively modeling the relationships among different objects in images. In this paper, we propose a novel deep learning based model to address this issue by leveraging a vision graph neural network (ViG). Our model, MedSegViG, mainly consists of a hierarchical ViG encoder and a lightweight convolutional decoder. The hierarchical encoder extracts multi-level features from the image and captures the object relationships with graph neural networks. The lightweight decoder then fuses these features and generates the corresponding segmentation map. Extensive experiments are conducted on seven datasets for three typical medical image segmentation tasks: polyp segmentation, skin lesion segmentation, and retinal vessel segmentation. The results demonstrate the superiority of our MedSegViG over state-of-the-art models across various tasks and datasets. The code is released on https://github.com/Xinhong-Li/MedSegViG.",
keywords = "Encoder-Decoder, Graph Neural Network, Medical Image Segmentation",
author = "Xinhong Li and Geng Chen and Yuanfeng Wu and Junqing Yang and Tao Zhou and Yi Zhou and Wentao Zhu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024 ; Conference date: 03-12-2024 Through 06-12-2024",
year = "2024",
doi = "10.1109/BIBM62325.2024.10822041",
language = "英语",
series = "Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3408--3411",
editor = "Mario Cannataro and Huiru Zheng and Lin Gao and Jianlin Cheng and {de Miranda}, {Joao Luis} and Ester Zumpano and Xiaohua Hu and Young-Rae Cho and Taesung Park",
booktitle = "Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024",
}