AI Diagnostics: Early Skin Cancer Detection via Multi-Spectral Computer Vision

Early detection is the single most critical factor in dermatological oncology survival rates. Melanoma and basal cell carcinoma present subtle structural and pigment patterns that require expert optical evaluation.

Multispectral Neural Analysis

Petanux leverages advanced computer vision models that analyze RGB, polarized light, and multispectral skin imaging to assist clinical dermatologists.

Diagnostic Impact:

• Lesion Boundary Segmentation: Automatically extracts pigment asymmetry, border irregularity, and diameter metrics (ABCD rule).
• Deep Feature Pattern Matching: Cross-references optical dermoscopy features against validated clinical databases.
• Clinical Decision Support: Provides non-invasive risk scores to support early biopsy recommendations without replacing physician judgment.