GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment.

ABSTRACT: The presence of a positive deep surgical margin in tongue squamous cell carcinoma (TSCC) significantly elevates the risk of local recurrence. Therefore, a prompt and precise intraoperative assessment of margin status is imperative to ensure thorough tumor resection. In this study, we integrate Raman imaging technology with an artificial intelligence (AI) generative model, proposing an innovative approach for intraoperative margin status diagnosis. This method utilizes Raman imaging to swiftly and non-invasively capture tissue Raman images, which are then transformed into hematoxylin-eosin (H&E)-stained histopathological images using an AI generative model for histopathological diagnosis. The generated H&E-stained images clearly illustrate the tissue's pathological conditions. Independently

SUBMITTER: Yan B 

PROVIDER: S-EPMC11770123 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature