Multimodal LLM-Assisted Analysis for Oral Mucosal Imaging
February 1, 2026
This ongoing project studies a multimodal workflow for oral mucosal dermoscopy. Images, patient reports, and medical knowledge are combined for structured analysis and clinician review. It is decision support and does not replace clinical judgment.
Research components
- oral microvessel and capillary analysis from dermoscopy images;
- retrieval of relevant medical knowledge and case context;
- multimodal reasoning over images and structured patient information;
- evidence presentation and clinician review before any final interpretation.
Related work includes zero-shot capillary segmentation with SAM2 and connectivity-preserving slender-structure segmentation. Only figures from public research outputs are used on this page.
Authors
PhD Candidate
Youcheng Zong is a PhD candidate in Control Science and Engineering at Northeastern University, China. He develops LLM-based methods for industrial forecasting, measurement correction, model adaptation, and decision support. He also studies structure-aware visual analysis for medical imaging.
