ICCV Daily 2021 - Tuesday

Machine learning has been a helpful tool for doctors in dealing with different medical imaging problems for some time now. It can also support disease diagnosis and treatment planning. Over the past few years, there has been a great deal of progress made in this area because of huge advancements in computer vision and artificial intelligence techniques. Problems such as medical image registration , structure detection , and tissue and organ segmentation have achieved state-of-the-art performance, while many new medical devices have been developed in conjunction with industry. In spite of this, the safe and reliable adoption of such technologies in hospitals in the real world remains limited, and many problems, such as cancer diagnosis, are still not solved. “ This is the key reason why we have created this workshop, ” Yuyin reveals. 16 DAILY ICCV Tuesday Workshop Preview Yuyin Zhou is a postdoctoral researcher at Stanford University, working with Matthew Lungren and Lei Xing on medical image analysis and other related machine learning problems. She is also co-organizing the very first Computer Vision for Automated Medical Diagnosis workshop at this year’s ICCV on Sunday. Yuyin is here to tell us what to expect. Computer Vision for Automated Medical Diagnosis