NL
DE
21 November 2019
By developing and applying new artificial intelligence methods, and advancing our knowledge on human visual perception of medical images, the investigators will improve how radiologists read breast cancer screening mammograms. Optimal reading of the screening mammograms will result in earlier detection of breast cancer, fewer healthy women recalled due to false alarms, and savings in the costs of healthcare.
Lead by Ioannis Sechopoulos, the project team consists of Jonas Teuwen, from the Department of Radiology and Nuclear Medicine, Mireille Broeders (Department for Health Evidence and the Dutch Expert Centre for Screening, LRCB), Ruud Pijnappel (UMC Utrecht and LRCB), Lucien Duijm (Canisius Wilhelmina Hospital and LRCB), and Craig Abbey and Miguel Eckstein (both from University of California, Santa Barbara, USA).
Read more on the NWO website (in Dutch).
Ioannis Sechopoulos is a member of theme Women's cancers and the LRCB, and leader of the AXTI laboratory.
By developing and applying new artificial intelligence methods, and advancing our knowledge on human visual perception of medical images, the investigators will improve how radiologists read breast cancer screening mammograms. Optimal reading of the screening mammograms will result in earlier detection of breast cancer, fewer healthy women recalled due to false alarms, and savings in the costs of healthcare.
Lead by Ioannis Sechopoulos, the project team consists of Jonas Teuwen, from the Department of Radiology and Nuclear Medicine, Mireille Broeders (Department for Health Evidence and the Dutch Expert Centre for Screening, LRCB), Ruud Pijnappel (UMC Utrecht and LRCB), Lucien Duijm (Canisius Wilhelmina Hospital and LRCB), and Craig Abbey and Miguel Eckstein (both from University of California, Santa Barbara, USA).
Read more on the NWO website (in Dutch).
Ioannis Sechopoulos is a member of theme Women's cancers and the LRCB, and leader of the AXTI laboratory.
Related news items
Supplemental MRI screening for women with extremely dense breast tissue
9 January 2020 In the New England Journal of Medicine, the DENSE trial study group including RIHS researchers Ritse Mann and Nico Karssemeijer showed that additional MRI after the nationwide breast screening, reduces interval breast cancer in women with extremely dense breast tissue. read more
Awarded KWF grants for Radboudumc researchers
18 December 2019 KWF is investing 2.7 million euros in five different studies at Radboudumc. The awards are part of the new round of funding by DCS, in which over 34 million euros will be granted to Dutch cancer research. We congratulate our researchers with this funding and wish them success with their great work. read more
ERC Consolidator Grant for Bousema and Sechopoulos
12 December 2019 Teun Bousema and Ioannis Sechopoulos each receive an ERC Consolidator Grant of around two million euros. This European research subsidy will enable them to carry out research for the next five years. read more
VIDI grant for Ritse Mann
27 May 2019 Ritse Mann, theme Women's cancers, receives up to 800,000 euros to develop an innovative research theme and to build up his own research group. NWO is awarding the Vidi grant as part of the Innovational Research Incentives Scheme. read more
Artificial intelligence vs. 101 radiologists for breast cancer detection
7 March 2019 In an article appearing in the journal of the National Cancer Institute, Ioannis Sechopoulos and colleagues showed that current artificial intelligence systems can detect breast cancer in mammograms as well as a breast radiologists. read more