
Researchers developed a dual-modality imaging system that combines high-resolution structural and chemical analysis with AI to improve skin cancer diagnosis.
Key Details
- 1The system merges line-field confocal optical coherence tomography (LC-OCT) with confocal Raman microspectroscopy.
- 2Over 330 nonmelanoma skin cancer samples were examined in a year-long clinical study.
- 3AI models trained on chemical spectra achieved classification accuracy of 0.95 for basal cell carcinoma and 0.92 for both basal and squamous cell carcinoma.
- 4The approach allows targeted, noninvasive analysis of suspicious skin structures at cellular and molecular levels.
Why It Matters

Source
EurekAlert
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