The Library
Hyperspectral colon tissue classification using morphological analysis
Tools
Masood, Khalid, Rajpoot, Nasir M. (Nasir Mahmood), Rajpoot, Kashif and Qureshi, Hammad A. (2006) Hyperspectral colon tissue classification using morphological analysis. In: 2nd International Conference on Emerging Technologies, Peshawar, PAKISTAN, NOV 13-14, 2006. Published in: Second International Conference on Emerging Technologies 2006, Proceedings pp. 735-741. ISBN 978-1-4244-0503-9. doi:10.1109/ICET.2006.335947
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Abstract
Diagnosis and cure of colon cancer can be improved by efficiently classifying the colon tissue cells into normal and malignant classes. This paper presents the classification of hyperspectral colon tissue cells using morphological analysis of gland nuclei cells. The application of hyperspectral imaging technique in medical image analysis is a new domain for researchers. The main advantage in using hyperspectral imaging is the increased spectral resolution and detailed subpixel information. Biopsy slides with several microdots, where each microdot is from a distinct patient, are illuminated with a tuned light light source and magnification is performed upto 400X. The proposed classification algorithm combines the hyperspectral imaging technique with linear discriminant analysis. Dimensionality reduction and cellular segmentation is achieved by Independent Component Analysis (ICA) and k-means clustering. Morphological features, which describe the shape, orientation and other geometrical attributes, are next to be extracted. For classification, LDA is employed to discriminate tissue cells into normal and malignant classes. Implementation of LDA is simpler than other approaches; it saves the computational cost, while maintaining the performance. The algorithm is tested on a number of samples and its applicability is demonstrated with the help of measures such as classification accuracy rate and the area under the convex hull of ROC curves.
Item Type: | Conference Item (UNSPECIFIED) | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TR Photography T Technology > TK Electrical engineering. Electronics Nuclear engineering |
||||
Journal or Publication Title: | Second International Conference on Emerging Technologies 2006, Proceedings | ||||
Publisher: | IEEE | ||||
ISBN: | 978-1-4244-0503-9 | ||||
Official Date: | 2006 | ||||
Dates: |
|
||||
Number of Pages: | 7 | ||||
Page Range: | pp. 735-741 | ||||
DOI: | 10.1109/ICET.2006.335947 | ||||
Publication Status: | Published | ||||
Title of Event: | 2nd International Conference on Emerging Technologies | ||||
Location of Event: | Peshawar, PAKISTAN | ||||
Date(s) of Event: | NOV 13-14, 2006 |
Data sourced from Thomson Reuters' Web of Knowledge
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |