Fig. 12: Prediction performance of JaundiceAI-Mobile under different lighting conditions. | npj Biosensing

Fig. 12: Prediction performance of JaundiceAI-Mobile under different lighting conditions.

From: Non-invasive jaundice detection using spectral-band expansion from RGB images and direct hyperspectral images

Fig. 12: Prediction performance of JaundiceAI-Mobile under different lighting conditions.The alt text for this image may have been generated using AI.

a Model trained with halogen-illuminated data (R² = 0.9561, R = 0.9778). b Model trained with fluorescent-tube-illuminated data (R² = 0.9880, R = 0.9940). c Model trained with combined halogen and fluorescent data (R² = 0.9656, R = 0.9826).

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