Kick-off EFRO Project MARBLE
Researchers of the Radboud University, the Radboud University Medical Center and ScreenPoint Medical gathered this week to kick-off the European EFRO project MARBLE.
News
Deep learning-based histopathological assessment of renal tissue
Meyke Hermsen et al present the first multi-class segmentation network for the histopathological analysis of renal tissue. Their work was published online yesterday by the Journal of the American Society of Nephrology.
Neural Image Compression for Gigapixel Histopathology Image Analysis
David Tellez et al present a new method to train neural networks on gigapixel whole-slide images directly, avoiding the need for fine-grained annotations. Their work appeared online yesterday in IEEE TPAMI.
Best Poster Award MIDL 2019
Congratulations to Thomas de Bel for winning the Best Poster Award at the second edition of the International Conference on Medical Imaging with Deep Learning held in London this week.
PhD defense Mehmet Dalmis
Mehmet Dalmis will defend his PhD thesis with the title' Automated Analysis of Breast MRI: from Traditional Methods into Deep Learning' the 12th of September at 12.30.
Final meeting AMI-project.
The final meeting of the AMI-project took place last week. The AMI-project was a close collaborative project between the Diagnostic Image Analysis Group and the Fraunhofer Institute for Digital Medicine MEVIS. With the development of a generic platform for automatic medical image analysis, the project was a succes.
Nathan Kaufman timely topics lecture for Jeroen van der Laak at USCAP 2019
Jeroen van der Laak was honored as Nathan Kaufman timely topics lecturer at the 108th annual meeting of the United States and Canadian Academy of Pathology (USCAP). This lecture is regarded as a great honor within the USCAP sphere.
Computer aided quantification of TSR as independent prognosticator in rectal cancer
Computational pathology group member Oscar Geessink and colleagues investigated the potential of computer-aided quantification of intratumoral stroma in rectal cancer whole-slide images. This month, their work has been accepted for publication by Celullar Oncology.
Kick-off H2020 project ExaMode
20 European researchers gathered last week at the Techno-pôle in Sierre, Switserland to kick-off the European H2020 project ExaMode. The objective of the project is to develop new prototypes for processing large volumes of medical data on exascale computing facilities.
EU H2020 and KWF grant for Francesco Ciompi and Jeroen van der Laak
Last month, Computational pathology group-members Francesco Ciompi and Jeroen van der Laak have been awarded 2 grants for the EXAMODE and PROACTING project. Both projects have a focus on cancer research based on deep learning techniques.