Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm

Huan Hsiang Lin, Ming Rung Tsai, Chun Fu Chen, Szu Yu Chen, Yi Hua Liao, Gwo-Giun Lee, Chi Kuang Sun

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Traditional biopsy procedure requires invasive tissue removal from a living subject followed by time-consuming complicatedly processing, so noninvasive in vivo virtual biopsy is a highly desired technique which own ability to obtain exhaustive tissue images without removing tissues from subjects. Some sets of in vivo virtual biopsy images provided by some healthy volunteers are processed by our cell segmentation approach based on marker-controlled gradient watershed algorithm to isolate the nuclei and cytoplasm and also evaluate their Nuclear-to-Cytoplasmic (NC) ratio. From our experimental results, our algorithm has significant potential for in vivo cell segmentation and NC ratio analysis to identify or detect the early symptoms of some skin diseases with abnormal NC ratios, such as skin cancers in clinical diagnosis.

Original languageEnglish
Pages101-104
Number of pages4
DOIs
Publication statusPublished - 2012 Sep 28
Event2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, Korea, Republic of
Duration: 2012 May 202012 May 23

Other

Other2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
CountryKorea, Republic of
CitySeoul
Period12-05-2012-05-23

Fingerprint

Biopsy
Harmonic generation
Watersheds
Tissue
Skin
Processing

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Lin, H. H., Tsai, M. R., Chen, C. F., Chen, S. Y., Liao, Y. H., Lee, G-G., & Sun, C. K. (2012). Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm. 101-104. Paper presented at 2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012, Seoul, Korea, Republic of. https://doi.org/10.1109/ISCAS.2012.6271397
Lin, Huan Hsiang ; Tsai, Ming Rung ; Chen, Chun Fu ; Chen, Szu Yu ; Liao, Yi Hua ; Lee, Gwo-Giun ; Sun, Chi Kuang. / Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm. Paper presented at 2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012, Seoul, Korea, Republic of.4 p.
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abstract = "Traditional biopsy procedure requires invasive tissue removal from a living subject followed by time-consuming complicatedly processing, so noninvasive in vivo virtual biopsy is a highly desired technique which own ability to obtain exhaustive tissue images without removing tissues from subjects. Some sets of in vivo virtual biopsy images provided by some healthy volunteers are processed by our cell segmentation approach based on marker-controlled gradient watershed algorithm to isolate the nuclei and cytoplasm and also evaluate their Nuclear-to-Cytoplasmic (NC) ratio. From our experimental results, our algorithm has significant potential for in vivo cell segmentation and NC ratio analysis to identify or detect the early symptoms of some skin diseases with abnormal NC ratios, such as skin cancers in clinical diagnosis.",
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Lin, HH, Tsai, MR, Chen, CF, Chen, SY, Liao, YH, Lee, G-G & Sun, CK 2012, 'Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm', Paper presented at 2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012, Seoul, Korea, Republic of, 12-05-20 - 12-05-23 pp. 101-104. https://doi.org/10.1109/ISCAS.2012.6271397

Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm. / Lin, Huan Hsiang; Tsai, Ming Rung; Chen, Chun Fu; Chen, Szu Yu; Liao, Yi Hua; Lee, Gwo-Giun; Sun, Chi Kuang.

2012. 101-104 Paper presented at 2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012, Seoul, Korea, Republic of.

Research output: Contribution to conferencePaper

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AB - Traditional biopsy procedure requires invasive tissue removal from a living subject followed by time-consuming complicatedly processing, so noninvasive in vivo virtual biopsy is a highly desired technique which own ability to obtain exhaustive tissue images without removing tissues from subjects. Some sets of in vivo virtual biopsy images provided by some healthy volunteers are processed by our cell segmentation approach based on marker-controlled gradient watershed algorithm to isolate the nuclei and cytoplasm and also evaluate their Nuclear-to-Cytoplasmic (NC) ratio. From our experimental results, our algorithm has significant potential for in vivo cell segmentation and NC ratio analysis to identify or detect the early symptoms of some skin diseases with abnormal NC ratios, such as skin cancers in clinical diagnosis.

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Lin HH, Tsai MR, Chen CF, Chen SY, Liao YH, Lee G-G et al. Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm. 2012. Paper presented at 2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012, Seoul, Korea, Republic of. https://doi.org/10.1109/ISCAS.2012.6271397