An Attention-PiDi-UNet and Focal Active Contour loss for Biomedical Image Segmentation

Author:

Trinh Minh-Nhat1,Nham Do-Hai-Ninh2,Pham Van-Truong1,Tran Thi-Thao1

Affiliation:

1. School of Electrical and Electronic Engineering Hanoi University of Science and Technology,Department of Automation Engineering,Hanoi,Vietnam

2. School of Applied Mathematics and Informatics Hanoi University of Science and Technology,Hanoi,Vietnam

Publisher

IEEE

Reference28 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation;Journal of Imaging Informatics in Medicine;2024-07-09

2. Promoting Animation Synthesis Through Dual-Channel Fusion;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

3. A CNN-Transformer-based Approach for Medical Image Segmentation;2023 International Conference on System Science and Engineering (ICSSE);2023-07-27

4. A New ConvMixer-Based Approach for Diagnosis of Fault Bearing Using Signal Spectrum;The 12th Conference on Information Technology and Its Applications;2023

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