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This paper presents a new method for discriminating centroblast (CB) from non-centroblast cells in microscopic images acquired from tissue biopsies of follicular lymphoma. In the proposed method tissue sections are sliced at a low thickness level, around 1–1.5um, which provides a more detailed depiction of the nuclei and other textural information of cells usually not distinguishable in thicker specimens,...
This paper presents a complete framework for automatic detection of malignant cells in microscopic images acquired from tissue biopsies of follicular lymphoma. After pre-processing to remove noise and suppress small details, images are segmented by using intensity thresholding, in order to detect the cell nuclei. Subsequently, touching cells are being separated using Expectation Maximization algorithm...
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