DocumentCode :
1851507
Title :
Study on texture analysis of renal cell carcinoma nuclei based on the Fuhrman grading system
Author :
Kim, Tae-Yun ; Choi, Hyun-Ju ; Cha, Soon-Joo ; Choi, Heung-Kook
Author_Institution :
Sch. of Comput. Eng., Inje Univ., Gimhae, South Korea
fYear :
2005
fDate :
23-25 June 2005
Firstpage :
384
Lastpage :
387
Abstract :
Texture features of the cell nucleus and chromatin as well as general topological or morphological features which used many cell image analysis contain important cellular diagnostic and prognostic information. In this paper, we describe the computerized method of nuclei and chromatin texture analysis of renal cell carcinoma image. For this study, 4 feature groups have been defined and selected. After preprocessing, feature parameters were extracted from the cell nuclei images that had been classified based on the Fuhrman nuclear grading system. Finally, we performed the quantitative analysis for the validation of the extracted features.
Keywords :
biomedical optical imaging; cancer; cellular biophysics; feature extraction; image classification; image texture; kidney; medical image processing; tumours; Fuhrman nuclear grading system; biomedical image processing; cell image analysis; cell prognostic information; cell texture features; cellular diagnostic information; chromatin; chromatin image texture analysis; computerized method; feature extraction; image classification; image preprocessing; quantitative analysis; renal cell carcinoma image; renal cell carcinoma nuclei; Biomedical measurements; DNA; Data mining; Feature extraction; Gaussian noise; Hospitals; Image segmentation; Image texture analysis; Microscopy; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. Proceedings of 7th International Workshop on
Print_ISBN :
0-7803-8940-9
Type :
conf
DOI :
10.1109/HEALTH.2005.1500487
Filename :
1500487
Link To Document :
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