Support Vector Machine

A computer vision detector with a support vector machine classifier more accurately and efficiently identified posterior thoracolumbar hardware at five-level classification compared with surgeons and manufacturer representatives.

The region-growing algorithm had the best segmentation performance in an assessment of the effectiveness of artificial intelligence methods for melanoma classification, according to findings published in Journal of the American Academy of Dermatology.

Click here to read the Cover Story, “AI an emerging tool, not substitute, for oncologists.”