Identifying Cells in Histopathological Images

We present an image analysis pipeline for identifying cells in histopathology images of cancer. The analysis starts with segmentation using multi-phase level sets, which is insensitive to initialization and enables automatic detection of arbitrary objects. Morphological operations are used to remove...

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Bibliographic Details
Published inRecognizing Patterns in Signals, Speech, Images and Videos pp. 244 - 252
Main Authors Cheng, Jierong, Veronika, Merlin, Rajapakse, Jagath C.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2010
SeriesLecture Notes in Computer Science
Subjects
centroblasts
feature selection
Histopathological images
level sets
lymphocytes
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ISBN9783642177101
3642177107
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-17711-8_25

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Summary:We present an image analysis pipeline for identifying cells in histopathology images of cancer. The analysis starts with segmentation using multi-phase level sets, which is insensitive to initialization and enables automatic detection of arbitrary objects. Morphological operations are used to remove small spots in the segmented images. The target cells are then identified based on their features. The detected cells were compared with the manual detection performed by pathologists. The quantitative evaluation shows promise and utility of our technique.
ISBN:9783642177101
3642177107
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-17711-8_25