https://scholars.lib.ntu.edu.tw/handle/123456789/511008
標題: | Automatic cell segmentation and nuclear-to-cytoplasmic ratio analysis for third harmonic generated microscopy medical images | 作者: | Lee, G.G. Lin, H.-H. Tsai, M.-R. Chou, S.-Y. WEN-JENG LEE YI-HUA LIAO Sun, C.-K. CHI-KUANG SUN |
公開日期: | 2013 | 卷: | 7 | 期: | 2 | 起(迄)頁: | 158-168 | 來源出版物: | IEEE Transactions on Biomedical Circuits and Systems | 摘要: | 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. ? 2007-2012 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/511008 | ISSN: | 1932-4545 | DOI: | 10.1109/TBCAS.2013.2253463 | SDG/關鍵字: | Cell segmentation; Clinical diagnosis; Convergence indices; Healthy volunteers; Imaging analysis; Noninvasive analysis; Nuclear-to-cytoplasmic ratios; Watershed transform; Biopsy; Harmonic generation; Medical imaging; Tissue; Image segmentation; algorithm; article; automated pattern recognition; biopsy; cell nucleus; computer aided design; computer assisted diagnosis; cytoplasm; human; microscopy; multivariate analysis; normal human; pathology; reproducibility; skin tumor; Algorithms; Biopsy; Cell Nucleus; Computer-Aided Design; Cytoplasm; Healthy Volunteers; Humans; Image Interpretation, Computer-Assisted; Microscopy; Multivariate Analysis; Pattern Recognition, Automated; Reproducibility of Results; Skin Neoplasms |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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