Blue Flower

  • Deep Learning in Medical Image Analysis: What's Next?  Ivana Išgum PhD (1), Jelmer M. Wolterink PhD (1), Bob D. de Vos MS (1), Nikolas Lessmann MSc (1), Majd Zreik MSc (1), Robbert W. van Hamersvelt MD (2), Tim Leiner MD PhD (2)  at  (1) Image Sciences Institute, University Medical Center Utrecht and Utrecht University, the Netherlands.  (2) Department of Radiology, University Medical Center Utrecht and Utrecht University, the Netherlands. "In this educational exhibit, we will discuss: 1.The basic principles of deep learning  2.How can deep learning aid the radiology workflow?  3.What’s next?"
  • Uitzending Nieuwsuur  13 december 2017  "Voor het eerst is aangetoond dat een computer sneller bepaalde uitgezaaide borstkanker kan ontdekken dan de mens. Onderzoekers van het Radboud UMC ontwikkelde een zelf lerend computerprogramma, dat de patholoog flink kan helpen."  Ook de radioloog is er flink mee geholpen.
  • RSNA 2017 AI algorithm matches radiologists in breast screening exams  by  Kate Madden Yee, AuntMinnie.com staff writerDecember 12, 2017 -- How does an artificial intelligence (AI) algorithm compare to radiologists when it comes to interpreting screening mammography exams? Their performances were fairly comparable, according to research presented at the recent RSNA 2017 meeting in Chicago. The study findings are good news, said presenter and doctoral candidate Alejandro Rodríguez-Ruiz of Radboud University Medical Center in Nijmegen, the Netherlands.