Medical images like X-rays are critical to confirming a COVID-19 diagnosis — giving doctors and radiologists visual evidence that laboratory tests are accurate. Moreover, deep learning software can lighten the workload of clinicians by analyzing thousands of medical images and identifying anomalies that refute or support a diagnosis.

A team of AI experts at Cognex set out to surmount this obstacle with a base question: Could Cognex’s industrial automation software provide an easy-to-use alternative that can match the performance of the world’s top open-source deep learning tools?

“We were surprised to learn that it’s easy for the software to differentiate between the pathologies that show up on X-rays,” said Vandenhirtz, Cognex’s Senior AI Expert for Life Sciences. "It is nearly impossible for humans to figure out differences in X-ray images with different pathologies. Five radiologists can give five different opinions on these kinds of images.”

Epson IntelliFlex is a high-performance parts-feeding solution with easy integration.

Providing the "backbone" of coordinate transformations required for generating mesh data, the new LMI Gocator firmware version 6.1 achieves 6 degrees of freedom (6DoF) alignment to generate high accuracy mesh surfaces in wide and ring type multi-sensor layouts. Built-in tools easily calculate the transformations between sensors that a sensor system will use to generate mesh data. The result is significantly improved measurement precision on 360º mesh scan data generated from your multi-sensor systems.