A review of graph-based methods for image analysis in digital histopathology

  • Harshita Sharma Computer Vision & Remote Sensing Technical University Berlin
  • Norman Zerbe Dept. Digital Pathology and IT Institute of Pathology Charité - Universitätsmedizin Berlin
  • Sebastian Lohmann Dept. Digital Pathology and IT Institute of Pathology Charité - Universitätsmedizin Berlin
  • Klaus Kayser Dept. Digital Pathology and IT Institute of Pathology Charité - Universitätsmedizin Berlin
  • Olaf Hellwich Computer Vision & Remote Sensing Technical University Berlin
  • Peter Hufnagl Dept. Digital Pathology and IT Institute of Pathology Charité - Universitätsmedizin Berlin


Digital image analysis of histological datasets is a currently expanding field of research. With different stains, magnifications and types of tissues, histological images are inherently complex in nature and contain a wide variety of visual information. Several image analysis techniques are being explored in this direction. However, graph-based methods are gaining most popularity, as these methods can describe tissue architecture and provide adequate numeric information for subsequent computer-based analysis. Graphs have the ability to represent spatial arrangements and neighborhood relationships of different tissue components, which are essential characteristics observed visually by pathologists during investigation of specimens. In this paper, we present a comprehensive review of the graph-based methods explored so far in digital histopathology. We also discuss the current limitations and suggest future directions in graph-based tissue image analysis.


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Author Biography

Harshita Sharma, Computer Vision & Remote Sensing Technical University Berlin
PhD student at Computer Vision & Remote Sensing, Technical University Berlin


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How to Cite
SHARMA, Harshita et al. A review of graph-based methods for image analysis in digital histopathology. Diagnostic Pathology, [S.l.], aug. 2015. ISSN 2364-4893. Available at: <http://www.diagnosticpathology.eu/content/index.php/dpath/article/view/61>. Date accessed: 14 july 2024. doi: https://doi.org/10.17629/www.diagnosticpathology.eu-2015-1:61.
Review Articles


Digital histopathology, graph-based methods, whole slide images, medical image analysis, image understanding, tissue architecture, spatial arrangement