by Hanae Armitage, Stanford University DDI dataset and algorithm performance. Row 1: Performance of all three AI models and the majority vote of an ensemble of dermatologists on the entire DDI dataset (A), FST I–II (B), and FST V–VI (C). Row 2: Performance across the DDI common diseases dataset with the performance of all algorithms...
by Technical University Munich Thanks to artificial intelligence, the AIMOS software is able to recognize bones and organs on three-dimensional grayscale images and segments them, which makes the subsequent evaluation considerably easier. Credit: Astrid Eckert / TUM Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great...
