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 conferencePaperpeer-review

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

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Cell segmentation and NC ratio analysis of third harmonic generation virtual biopsy images based on marker-controlled gradient watershed algorithm'. Together they form a unique fingerprint.

Cite this