Hybrid Deep Learning and Explainable AI for Symmetry-Aware and Multiscale Medical Image Analysis

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.