IBM detects skin cancer more quickly with visual machine learning
Skin cancer can be detected more quickly and accurately by using cognitive computing-based visual analytics, researchers at IBM Research have found, in collaboration with New York’s Memorial Sloan Kettering Cancer Center.
In a scan of 3,000 images, IBM technology was able to spot melanoma with an accuracy of about 95 percent, much better than the 75 percent to 84 percent average of today’s largely manual methods.
“The technology can pull on massive amounts of data to help the doctor make more informed decisions,” said Noel Codella, a multimedia analytics researcher in the cognitive computing group at the IBM T. J. Watson Research Center in Yorktown Heights, New York.
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