Intestinal gland classification from colorectal cancer tissue images using graph-based methods
2019
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Title
Intestinal gland classification from colorectal cancer tissue images using graph-based methods
Author(s)
Studer, Linda (School of Engineering, HES-SO Valais-Wallis, HEI, HES-SO University of Applied Sciences Western Switzerland)
Toneyan, Shushan (Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland)
Zlobec, Inti (Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland)
Lugli, Alessandro (Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland)
Fischer, Andreas (School of Engineering, HES-SO Valais-Wallis, HEI, HES-SO University of Applied Sciences Western Switzerland)
Dawson, Heather (Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland)
Toneyan, Shushan (Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland)
Zlobec, Inti (Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland)
Lugli, Alessandro (Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland)
Fischer, Andreas (School of Engineering, HES-SO Valais-Wallis, HEI, HES-SO University of Applied Sciences Western Switzerland)
Dawson, Heather (Institute of Pathology, Faculty of Medicine, University of Bern, Switzerland)
Date
2019-11
Published in
Proceedings of the 4th Joint Annual Meeting of the Swiss and Austrian Societies of Pathology, 7-9 November 2019, Luzern, Switzerland ; Der Pathologe
Publisher
Luzern, Switzerland, 7-9 November 2019
Pagination
3 p.
Presented at
4th Joint Annual Meeting of the Swiss and Austrian Societies of Pathology, Luzern, Switzerland, 2019-11-07, 2019-11-09
Paper type
short paper
Faculty
Ingénierie et Architecture
School
HEIA-FR
Institute
iCoSys- Institut d’intelligence artificielle et systèmes complexes
Note
Publihsed in Der Pathologe, no. 6(2019), article no. P21, pp. 688-689
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Der Pathologe