Novel AI imaging approach yields improved skin cancer diagnosis

A novel imaging approach using artificial intelligence was associated with improved detection of parameters associated with melanoma, according to results presented at the International Conference on Image Analysis and Recognition. The researchers suggested that a number of quantitative imaging approaches to dealing with melanoma have focused largely on skin lesions using "hand crafted imaging features." The current study employed "machine-learning" software, which records abstract quantitative features on images and can model physiological traits of the patients, according to study background. The two features of melanoma that were assessed in the analysis were eumelanin and hemoglobin concentrations observed on dermal imaging. The researchers created a non-linear random forest regression model culled from the images.