Title: Charisma: An integrated approach to automatic H&E-stained skeletal muscle cell segmentation using supervised learning and novel robust clump splitting
Authors: Janssens, Thomas ×
Antanas, Laura
Derde, Sarah #
Vanhorebeek, Ilse #
Van den Berghe, Greet
Guiza Grandas, Fabian #
Issue Date: Dec-2013
Publisher: Oxford University Press
Series Title: Medical Image Analysis vol:17 issue:8 pages:1206-1219
Abstract: Histological image analysis plays a key role in understanding the effects of disease and treatment responses at the cellular level. However, evaluating histology images by hand is time-consuming and subjective. While semi-automatic and automatic approaches for image segmentation give acceptable results in some branches of histological image analysis, until now this has not been the case when applied to skeletal muscle histology images. We introduce Charisma, a new top-down cell segmentation framework for histology images which combines image processing techniques, a supervised trained classifier and a novel robust clump splitting algorithm. We evaluate our framework on real-world data from intensive care unit patients. Considering both segmentation and cell property distributions, the results obtained by our method correspond well to the ground truth, outperforming other examined methods.
ISSN: 1361-8415
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Laboratory of Intensive Care Medicine
Informatics Section
× corresponding author
# (joint) last author

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