ODU Digital Commons
metadata only
MaxGRNet: A Multi-Axis Vision Transformer with Improved Generalization for Eye Disease Classification Using Explainable AI with Insertion-Deletion Operations on Fundus Images
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Effectiveness and Cost-Effectiveness Evaluations of AI-Assisted Diagnostic Software (VeriSee) for Ophthalmic Disease Screening#141181
- UPL-GAT: Unified Protein–Ligand Graph Attention Networks in Virtual Screening#235446
- Pharmacist-led integration of autonomous AI screening and conversational AI for ocular disease management#361371
- An end-to-end transformer based approach for disease prediction from metagenomic data#218228
- Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives.#266944
Record · ID 190276
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive