Hybrid Deep Learning and Explainable AI for Symmetry-Aware and Multiscale Medical Image Analysis
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 48
Special Issue Editors
Interests: pattern recognition; machine learning; image processing; computer graphics
Special Issues, Collections and Topics in MDPI journals
Interests: medical imaging; machine learning; computational intelligence; digital image processing; biological systems modeling; hybrid deep learning; explainable AI (XAI); semantic segmentation; multiscale and multidimensional approaches
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; data science; complex systems; network science; computer vision; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will advance research on Hybrid Deep Learning and Explainable Artificial Intelligence (XAI) for medical diagnostic imaging, with particular emphasis on symmetry-aware modeling and multiscale computational representations. We welcome contributions that integrate Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), and multiscale, multidimensional, or multiresolution feature extractors to improve classification, segmentation, and anomaly detection tasks. We also encourage studies exploring model-enrichment strategies that incorporate geometric or anatomical symmetries, mirror-aware attention mechanisms, multilevel feature fusion, explainability-driven constraints, or complex network-based descriptors to enhance model performance, robustness, and clinical interpretability. Submissions addressing theoretical formulations, algorithmic innovation, benchmarking frameworks, or real-world clinical deployments will be highly appreciated. Both methodological advances and analytical reviews demonstrating clear scientific novelty, mathematical rigor, and reproducibility are well aligned with the aims of this Special Issue.
Prof. Dr. Leandro Alves Neves
Prof. Dr. Marcelo Zanchetta do Nascimento
Prof. Dr. Lucas C. Ribas
Dr. Wallace Casaca
Guest Editors
Manuscript Submission Information
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Keywords
- hybrid deep learning
- explainable AI (XAI)
- symmetry-aware modeling
- model-enrichment strategies
- vision transformers (ViTs)
- convolutional neural networks (CNNs)
- multiscale, multidimensional, and multiresolution descriptors
- complex-network-based descriptors
- medical image analysis
- geometric and structural explainability
- computer-aided diagnosis (CAD)
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