Paper Info
Title
Automatic cell segmentation and nuclear-to-cytoplasmic ratio analysis for third harmonic generated microscopy medical images.
Abstract
Traditional biopsy procedures require invasive tissue removal from a living subject, followed by time-consuming and complicated processes, so noninvasive in vivo virtual biopsy, which possesses the ability to obtain exhaustive tissue images without removing tissues, is highly desired. Some sets of in vivo virtual biopsy images provided by healthy volunteers were processed by the proposed cell segmentation approach, which is based on the watershed-based approach and the concept of convergence index filter for automatic cell segmentation. Experimental results suggest that the proposed algorithm not only reveals high accuracy for cell segmentation but also has dramatic potential for noninvasive analysis of cell nuclear-to-cytoplasmic ratio (NC ratio), which is important in identifying or detecting early symptoms of diseases with abnormal NC ratios, such as skin cancers during clinical diagnosis via medical imaging analysis.
Year
DOI
Venue
2013
10.1109/TBCAS.2013.2253463
IEEE Trans. Biomed. Circuits and Systems
Keywords
DocType
Volume
noninvasive analysis,cellular biophysics,diseases,cell segmentation,invasive tissue removal,biomedical optical imaging,optical harmonic generation,tissue images,image segmentation,convergence index filter,skin cancers,virtual biopsy,cancer,third harmonic generation (thg),third harmonic generated microscopy medical images,watershed transform,automatic cell segmentation,nuclear-to-cytoplasmic ratio (nc ratio),watershed-based approach,medical imaging analysis,skin,nuclear-to-cytoplasmic ratio analysis,medical image processing
Journal
7
Issue
ISSN
Citations 
2
1940-9990
3
PageRank 
References 
Authors
0.40
18
8
Name
Order
Citations
PageRank
Gwo Giun Lee19215.89
Huan-Hsiang Lin261.45
Ming-Rung Tsai351.38
Sin-Yo Chou430.73
Wen-Jeng Lee5142.88
Yihua Liao625116.16
Chi-Kuang Sun751.38
Chun-Fu Chen8469.08