Name
Title | ||
|---|---|---|
Nucleus Classification and Recognition of Uterine Cervical Pap-Smears Using FCM Clustering Algorithm |
Abstract | ||
|---|---|---|
Segmentation for the region of nucleus in the image of uterine cervical cytodiagnosis is known as the most difficult and important part in the automatic cervical cancer recognition system. In this paper, the nucleus region is extracted from an image of uterine cervical cytodiagnosis using the HSI model. The characteristics of the nucleus are extracted from the analysis of morphemetric features, densitometric features, colormetric features, and textural features based on the detected region of nucleus area. The classification criterion of a nucleus is defined according to the standard categories of the Bethesda system. The fuzzy c-means clustering algorithm is employed to the extracted nucleus and the results show that the proposed method is efficient in nucleus recognition and uterine cervical Pap-Smears extraction. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-71629-7_33 | ICANNGA (2) |
Keywords | DocType | Volume |
nucleus recognition,automatic cervical cancer recognition,nucleus classification,fcm clustering algorithm,nucleus region,uterine cervical,uterine cervical cytodiagnosis,hsi model,bethesda system,classification criterion,nucleus area,uterine cervical pap-smears extraction,colormetric feature | Conference | 4432 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| kwangbaek kim | 1 | 110 | 43.94 |
| Sungshin Kim | 2 | 210 | 64.17 |
| Gwang-Ha Kim | 3 | 5 | 1.52 |