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Proceedings Paper

Cytological color image processing system for diagnosis of lung cancers
Author(s): Lei-Jian Liu; Yulong Cao; Hua Feng Wang; Jingyu Yang
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Paper Abstract

Image processing techniques have already been widely used in various medical applications for decades. With the development of computer and image processing techniques, more and more medical diagnostic systems have been put into use. This presentation describes a cytological color image processing system developed for the health inspection for early stage lung cancers. As most of the existing microscopic diagnostic systems use morphological, and gray or color features respectively, which results in the instability of the diagnosis and limitation in their applications, we make use of both morphological and color features of the cells in our system. To increase the stability and efficiency of the diagnosis, we adopt a hierarchical processing architecture for the segmentation and classification of cells. First, all the nuclei are segmented by thresholding in a special color space. Then, the segmented nuclei are classified as normal cells or candidate cancer cells using their morphological features. Finally, suing the chromatic features of the nuclei, all the candidate cancer cells are verified and further classified. At last, experiment results are given to show the feasibility of the approach proposed here.

Paper Details

Date Published: 20 October 1993
PDF: 9 pages
Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); doi: 10.1117/12.158630
Show Author Affiliations
Lei-Jian Liu, East China Institute of Technology (United States)
Yulong Cao, East China Institute of Technology (China)
Hua Feng Wang, East China Institute of Technology (China)
Jingyu Yang, East China Institute of Technology (China)

Published in SPIE Proceedings Vol. 2028:
Applications of Digital Image Processing XVI
Andrew G. Tescher, Editor(s)

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