Paper Info
Title
A Comprehensive Framework For Classification Of Nuclei In Digital Microscopy Imaging: An Application To Diffuse Gliomas
Abstract
In this paper, we present a comprehensive framework to support classification of nuclei in digital microscopy images of diffuse gliomas. This system integrates multiple modules designed for convenient human annotations, standard-based data management, efficient data query and analysis. In our study, 2770 nuclei of six types are annotated by neuropathologists from 29 whole-slide images of glioma biopsies. After machine-based nuclei segmentation for whole-slide images, a set of features describing nuclear shape, texture and cytoplasmic staining is calculated to describe each nucleus. These features along with nuclear boundaries are represented by a standardized data model and saved in the spatial relational database in our framework. Features derived from nuclei classified by neuropathologists are retrieved from the database through efficient spatial queries and used to train distinct classifiers. The best average classification accuracy is 87.43% for 100 independent five-fold cross validations. This suggests that the derived nuclear and cytoplasmic features can achieve promising classification results for six nuclear classes commonly presented in gliomas. Our framework is generic, and can be easily adapted for other related applications.
Year
DOI
Venue
2011
10.1109/ISBI.2011.5872833
2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO
Keywords
Field
DocType
Nuclei classification, feature selection, microscopy image analysis, metadata model, diffuse glioma
Data mining,Relational database,Feature selection,Computer science,Image segmentation,Artificial intelligence,Metadata modeling,Contextual image classification,Computer vision,Pattern recognition,Feature extraction,Data management,Data model
Conference
ISSN
Citations 
PageRank 
1945-7928
2
0.40
References 
Authors
5
9
Name
Order
Citations
PageRank
Jun Kong123729.70
Lee A D Cooper212912.14
Fusheng Wang3848.79
Candace Chisolm4130.98
Carlos S Moreno5745.56
Tahsin M. Kurç61423149.77
Patrick Widener723222.39
Daniel J. Brat8859.91
Joel H. Saltz94046569.91