About
Contact & Profiles
A5008977909
Research Areas
- Cryptographic Implementations and Security
- Brain Tumor Detection and Classification
- Advanced Malware Detection Techniques
- Chaos-based Image/Signal Encryption
Loughborough University
2025
Beijing Electronic Science and Technology Institute
2022
Grade classification of gliomas is critical in clinical diagnosis and treatment decisions. Although histological images are commonly used for grading as an important factor prognostic prediction, their results prone to inter-observer variability. Recent advancements molecular genetics have significantly improved tumor classification, but challenges persist effective feature selection multi-modal data fusion. This letter proposes a hybrid encoding method based on information bottleneck...
10.1109/lsp.2025.3528861
article
EN
IEEE Signal Processing Letters
2025-01-01
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