Autoregressive modelling: application to mitosis detection in brain cancer histopathology
by D. Vaishali; R. Ramesh; J. Anita Christaline
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 20, No. 2, 2016

Abstract: In traditional methods, cancer is diagnosed using clinical pathology, where pathologists inspect biopsy samples and make inferences. These inferences are based on cell morphology and tissue distribution which represent randomness in growth and/or in placement. Computer-Assisted Diagnostics (CAD) aids objective judgement that is based on very large database. This work emphasises the contribution of 2D autoregressive model for analysis and classification of histopathological images. Autoregressive model parameters represent a feature set of histopathological image made from biopsy samples taken from patients. These features are further used for analysis, synthesis and classification. The Yule-Walker Least-Squares (LS) method has been used for parameter estimation. AR parameters provide features for classification of sample in two classes: healthy tissue and malignant tissue. Feature data sets have been classified with Support Vector Machine (SVM) classifier. In view of cancer diagnosis, this work also explains the concepts of sensitivity, specificity and classification accuracy.

Online publication date: Sat, 16-Jan-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com