Hao Li

ORCID: 0009-0004-7013-663X
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About
Contact & Profiles
Research Areas
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • AI in cancer detection
  • Agriculture Sustainability and Environmental Impact
  • Agricultural Economics and Policy
  • Advanced Neural Network Applications
  • Artificial Intelligence in Healthcare
  • Sustainable Agricultural Systems Analysis
  • Video Surveillance and Tracking Methods
  • Digital Media Forensic Detection
  • Brain Tumor Detection and Classification
  • Network Security and Intrusion Detection

Zhongyuan University of Technology
2023-2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

10.3233/jifs-237831 article EN Journal of Intelligent & Fuzzy Systems 2024-03-22

Most existing approaches for medical image segmentation has been proposed, but they can't get desirable result due to the network. The classical network lose much information during downsampling process. And medica images is easy be contaminated by heavy noise, poor boundaries and so on. To address these issues, we propose an effective named IDMUNet, liver tumor in CT images, This introduces supplement(IS) module guide efficiently fuse global local information. After that, features obtained...

10.1145/3635118.3635126 article EN 2023-11-17
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