Model-based Correction of Segmentation Errors in Digitised Histological Images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

External organisations

  • University of Exeter

Abstract

This paper describes an application of model-based methods for the algorithmic correction of segmentation errors in digitised histo- logical images. This is a real-world application where qualitative spatial reasoning and constraint-satisfaction programming methods have been integrated with classical image processing methods to develop context- based histological imaging algorithms. The context here arises from: (i) making an ontological stand whereby regions rather than pixels in digi- tised images are deemed to be the main carriers of histological content, and (ii) highlighting the importance of and explicitly modelling topo- logical (and in particular relational) information encoded in digitised histological images. The topological analysis and representational frame- work used is provided by the spatial logic Discrete Meterotopology. We use this to augment classical Mathematical Morphology pixel and region- based operations by explicitly encoding sets of binary relations on pairs of regions such as contact, overlap and the part-whole relation. These mereotopological relations are used both to model the domain and to guide resegmentation algorithms so that our interpreted images conform to the requirements for a valid histological model.

Details

Original languageEnglish
Title of host publicationMedical image understanding and analysis
Subtitle of host publication21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings
Publication statusPublished - 2017
EventMedical Image Understanding and Analysis (MIUA) 2017 - Edinburgh, United Kingdom
Duration: 11 Jul 201713 Jul 2017
https://miua2017.wordpress.com/

Publication series

NameCommunications in computer and information science
PublisherSpringer
Volume723
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceMedical Image Understanding and Analysis (MIUA) 2017
CountryUnited Kingdom
Period11/07/1713/07/17
Internet address

Keywords

  • Histological Image Processing, Mereotopology, Graph Theory