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      • Bilkent Theses
      • Theses - Department of Computer Engineering
      • Dept. of Computer Engineering - Master's degree
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      Rule based segmentation of colon glands

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      Author
      Yücel, Simge
      Advisor
      Demir, Çiğdem Gündüz
      Date
      2018-09
      Publisher
      Bilkent University
      Language
      en_US
      Type
      Thesis
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      Abstract
      Colon adenocarcinoma, which accounts for more than 90 percent of all colorectal cancers, originates from epithelial cells that form colon glands. Thus, for its diagnosis and grading, it is important to examine the distortions in the organizations of these epithelial cells, and hence, the deformations in the colon glands. Therefore, localization of the glands within a tissue and quanti cation of their deformations is essential to develop an automated or a semi-automated decision support system. With this motivation, this thesis proposes a new structural segmentation algorithm to detect glands in a histopathological tissue image. This structural algorithm proposes to transform the histopathological image into a new representation by locating a set of primitives using the Voronoi diagram, to generate gland candidates by de ning a set of rules on this new representation, and to devise an iterative algorithm that selects a subset of these candidates based on their tness scores. The main contribution of this thesis is the following: The representation introduced by this proposed algorithm enables us to better encode the colon glands by de ning the rules and the tness scores with respect to the appearance of the glands in a colon tissue. This representation and encoding have not been used by the previous studies. The experimental results of our algorithm show that this proposed algorithm improves the segmentation results of its pixel-based and structural counterparts without applying any further processing.
      Keywords
      Histopathological Image Analysis
      Gland Segmentation
      Voronoi Diagram
      Structural Method
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      http://hdl.handle.net/11693/48075
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