An approach for detection of glomeruli in multisite digital pathology

R. Maree (1, 2) , S. Dallongeville (2) , J.-C. Olivo-Marin (2) , V Meas-Yedid (2)

1 Université de Liège
2 BIA - Analyse d'images biologiques - Biological Image Analysis

We present a novel bioimage informatics workflow that combines Icy and Cytomine software and their algorithms to enable large-scale analysis of digital slides from multiple sites. In particular, we apply this workflow on renal biopsies and evaluate empirically our approach for the automatic detection of glomeruli in hundreds of tissue sections.

Domains: Image Processing [eess.IV]; Computer Vision and Pattern Recognition [cs.CV]; Machine Learning [cs.LG]; Urology and Nephrology; Cancer; Immunotherapy

R. Maree, S. Dallongeville, J.-C. Olivo-Marin, V Meas-Yedid. An approach for detection of glomeruli in multisite digital pathology. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), Apr 2016, Prague, Czech Republic. pp.1033-1036, ⟨10.1109/ISBI.2016.7493442⟩. ⟨pasteur-03721670⟩