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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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
Online AccessGet full text
ISBN9783642177101
3642177107
ISSN0302-9743
1611-3349
DOI10.1007/978-3-642-17711-8_25

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Abstract 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.
AbstractList 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.
Author Veronika, Merlin
Rajapakse, Jagath C.
Cheng, Jierong
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Snippet We present an image analysis pipeline for identifying cells in histopathology images of cancer. The analysis starts with segmentation using multi-phase level...
SourceID springer
SourceType Publisher
StartPage 244
SubjectTerms centroblasts
feature selection
Histopathological images
level sets
lymphocytes
Title Identifying Cells in Histopathological Images
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