Title :
An automated clump decomposition system for cervical tissue sections
Author :
Jin, X.C. ; Yeo, T.T.E. ; Ong, S.H. ; Jayasooriah ; Sinniah, R.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
This paper presents an automated clump decomposition system for the image analysis of cervical tissue sections. The system consists of two parts: the training stage and the decomposition stage. The basis of the system is a clump splitting method which analyzes concavities to determine split points
Keywords :
biology computing; cellular biophysics; image segmentation; learning (artificial intelligence); automated clump decomposition system; cervical cancer cell nuclei; cervical tissue sections; clump splitting method; concavities; cytological images; decomposition stage; histological images; image analysis; split points; training stage; Algorithm design and analysis; Bismuth; Computer science; Image analysis; Image segmentation; Image sequence analysis; Microscopy; Morphological operations; Pathology; Size measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.412184
