Counting Lymphocytes in Histopathology Images Using Connected Components

In this paper, a method for automatic counting of lymphocytes in histopathology images using connected components is presented. Our multi-step approach can be divided into two main parts: processing of histopathology images, and recognition of interesting regions. In the processing part, we use thre...

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Bibliographic Details
Published inRecognizing Patterns in Signals, Speech, Images and Videos pp. 263 - 269
Main Authors Graf, Felix, Grzegorzek, Marcin, Paulus, Dietrich
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2010
SeriesLecture Notes in Computer Science
Subjects
Follicular Lymphoma
Geodesic Active Contour
Ground Truth
High Robustness
Template Match
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ISBN9783642177101
3642177107
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-17711-8_27

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Summary:In this paper, a method for automatic counting of lymphocytes in histopathology images using connected components is presented. Our multi-step approach can be divided into two main parts: processing of histopathology images, and recognition of interesting regions. In the processing part, we use thresholding and morphology methods as well as connected components to improve the quality of the images for recognition. The recognition part is based on a modified template matching method. The experimental results achieved for our algorithm prove its high robustness for this kind of applications.
ISBN:9783642177101
3642177107
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-17711-8_27