Thao Thi Phuong Dao

Adapting Medical and General-Purpose Vision-Language Models for ENT Endoscopic Report Generation

Endoscopic report generation for Ear, Nose, and Throat (ENT) images remains challenging because Vision-Language Models (VLMs) suffer from domain shift and medical hallucination, while full fine-tuning is computationally expensive. We propose a unified framework that combines Retrieval-Augmented Generation (RAG) with Lo...