Title :
Intelligent Computation and Precise Measurement of DNA Content in Cell Nucleus: A Calibration Approach Based on Morphology and Support Vector Regression
Author :
Lu, Gang ; Zhang, Yi ; Pang, Baochuan
Author_Institution :
Shu-Tong R&D Center, Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In the study of quantitative cytology, the measurement of the DNA content in cell nuclear is the most important basis and necessary premise of cancer screening and diagnosis. Due to some unavoidable factors, certain errors may occur in the measurement of the DNA content through processing and analysis of the cell nuclei image. A new calibration approach based on morphology and SVR regression algorithm was proposed. Through spatial and optical calibration, the approach sufficiently utilized the information hidden in the images and features of the cell nucleus. The experiment showed that the approach could increase the measurement accuracy significantly, and show positive significance in improving the specificity and sensitivity of the pathological diagnosis.
Keywords :
DNA; biomedical measurement; calibration; cancer; cellular biophysics; image segmentation; medical image processing; molecular biophysics; regression analysis; support vector machines; DNA content measurement; SVR regression algorithm; cancer; cell nucleus; image segmentation; intelligent computation; morphology; optical calibration; pathological diagnosis sensitivity; pathological diagnosis specificity; spatial calibration; Calibration; Cancer; Computer errors; DNA computing; Humans; Image analysis; Morphology; Nuclear measurements; Optical sensors; Pathology;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5363533
