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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tanaka, T. Murase, Y. |
| Copyright Year | 2002 |
| Abstract | Summary form only given. In this paper, an automated system to segment cell nuclei of dermatofibroma (DF) and dermatofibrosarcoma protuberans (DFSP) is proposed. It is difficult to segment nuclear regions accurately, because there exists a lot of ambiguous nuclei. Objective of the system is to segment nuclear regions objectively and in some accuracy. In the system, regions to be segmented are defined as regions that are surrounded by edges of certain strength. Under this restriction, arbitrary shaped nuclear regions and weakly stained nuclear regions are possible to be extracted. At first, contrast emphasis using hue is done as preprocessing. Image binarization is done by a dynamic thresholding method with implementation of Laplacian-histogram method and Otsu/spl square/fs thresholding method. At last, separation of the overlapping nuclei is carried out by watershed algorithm. To evaluate availability of this system, segmentation test was done using real tissue cell images of DF and DFSP. From some features computed from the segmented nuclear regions, an automated classification of benign tumor or malignant tumor is finally performed. |
| File Size | 39057 |
| File Format | |
| ISBN | 0780376129 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2002.1106278 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-10-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Skin neoplasms Shape Image segmentation Availability System testing Benign tumors Malignant tumors Image processing |
| Content Type | Text |
| Resource Type | Article |
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