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ICIP
2010
IEEE

Improving histology images segmentation through spatial constraints and supervision

9 years 8 days ago
Improving histology images segmentation through spatial constraints and supervision
We introduce two approaches to improve an existing color segmentation technique based on a Split and Merge quantization process for the study of stained histological images. We propose to modify the merge criterion : first, we include a spatial constraints heuristic; then we suggest the use of supervision and a more elaborated visual features representation. We tested these approaches on a renal biopsies dataset to automatically quantify interstitial fibrosis and show that supervision brings very significant improvements.
Nicolas Hervé, Aude Servais, Eric Thervet,
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICIP
Authors Nicolas Hervé, Aude Servais, Eric Thervet, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid
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