Nucleus segmentation and recognition of uterine cervical pap-smears

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4482 LNAI, Issue , 2007, Pages 153-160

  Kim, Kwang Baek ^a   Song, Doo Heon ^b   Woo, Young Woon ^c  

^a Silla University   (South Korea)

^b Yong in Songdam College   (South Korea)

^c Dong Eui University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DIAGNOSIS; FUZZY SETS; IMAGE SEGMENTATION; PIXELS;

FUZZY RBF NETWORK; THRESHOLD VALUES; UTERINE CERVICAL CYTODIAGNOSIS; UTERINE CERVICAL PAP-SMEARS;

ONCOLOGY;

EID: 38049064971     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72530-5_18     Document Type: Conference Paper

References (7)

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2. Seo, C.W., Choi, S.J., Hong, M.K., Lee, H.Y., Jeong, W.G.: Epidemiologic Observation of Diagnosis of Cervical Cancer and Comparative Study of Abnormal Cytologic Smear and Biopsy Result. Journal of The Korean Academy of Family Medicine. 17(1) (1996) 76-82
3. Hugo, B.G., Ian, R., Alistair, Kudair, C., James, H., Tucker, H., Nasseem, H.: Automation in cervical cytology: an overview. Analytical Cellular Pathology, 4 (1992) 25-48
4. Lee, J.D.: Color Atlas Diagnostic Cytology. Press of Korea Medical Publishing Company, (1989)
5. Kim, H.Y., Kim, S.A., Choi, Y.C., Kim, B.S., Kim, H.S., Nam, S.E.: A Study on Nucleus Segmentation of Uterine Cervical Pap-Smears using Multi Stage Segmentation Technique. Journal of Korea Society of Medical Informatics, 5(1) (1999) 89-95
6. Kulkarmi, A. D.: Computer Vision and Fuzzy-Neural Systems: Prentice Hall, (2001)
7. Kim, K.B., Kim, C. S., and Kim, S.: Nucleus Classification of uterine cervical papsmears using FCM clustering algorithm. Proceedings of SCIS & ISIS2006, Tokyo, Japan, (2006) 1084-1088