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Title Image Analysis of Breast Cancer Tissue Microarrays
Author Højrup, Helene Hvidegaard
Supervisor Larsen, Rasmus (Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Institution Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
Thesis level Master's thesis
Year 2011
Abstract Breast cancer is by far the most common cancer in women in Denmark. Approximately 4000 new cases are diagnosed annually and about 1200 die from the disease [14]. When changes in the breast are observed a biopsy is taken to determine whether or not the worrisome lumps are cancer or not. If it is cancer, the tissue from the biopsy is further processed to state the type of cancer. This diagnosis is based on manual countings of the cell nuclei in the tissue hence this is a slow and tedious process. For this reason automatic segmentation methods are wanted. The goal of this study was to develop an efficient and accurate algorithm for detecting and segmenting cell nuclei in 2D histological images followed by an automated counting of the cell nuclei. The algorithm developed constituted on, texture analysis, color segmentation and dynamic programming. The results gave the impression of an algorithm that was somehow able to reconstruct the manually counted results. However these results did not seem to depend much on the segmentation of the nuclei, rather on the distribution of blue and brown colors in the image. Questions about the validity of the results were also raised, since only thirteen cores from three different TMA blocks were used in the analysis. More data was available, however the computation time for the algorithm, was far too long for all this to be analysed. Of cause a great buttleneck in the algorithm.
Imprint Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Series IMM-M.Sc.-2011-07
Original PDF ep11_07_rev.pdf (11.16 MB)
Admin Creation date: 2011-02-03    Update date: 2011-02-03    Source: dtu    ID: 274687    Original MXD