Testis tubule atrophy (IMAGE)
Caption
Traditionally, researchers and medical professionals identify pathology, or signs of disease, by analyzing and annotating tissues under a microscope like the image of testis (tubule atrophy) disease pictured here -- a process that can take many hours for one slide or image. The “deep learning” AI model developed at WSU was able to identify pathologies much faster than humans, sometimes catching signs that human pathologists had missed.
Credit
Courtesy of Eric Nilsson, Skinner Laboratory, Washington State University
Usage Restrictions
For use only with stories associated with this press release
License
Original content