A computer vision approach to micro-nucleus automatic detection and surface measurements

Michele Ceccarelli, Domenico Grimaldi, Francesco Lamonaca, Antonio Speranza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper reports a novel method for Nucleus and Micro Nucleuses segmentation. These biological structures are very handy to biologists for relieving structural chromosome aberration. The adopted method consists into a pipeline of advanced computer vision algorithms some of them specifically tailored for the current segmentation problem. Starting from weak hypotheses on size, shape and colour of Micro Nucleuses it is possible to efficiently segment all the image features by computer vision approach. Experimental results on real images are reported.

Original languageEnglish
Title of host publication2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009
Pages166-171
Number of pages6
DOIs
Publication statusPublished - 23 Nov 2009
Event2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009 - Cetraro, Italy
Duration: 29 May 200930 May 2009

Publication series

Name2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009

Other

Other2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009
CountryItaly
CityCetraro
Period29/5/0930/5/09

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Keywords

  • Component
  • Gaussian noise
  • Image enhancement
  • Image processing
  • Micro nucleus measurement
  • Segmentation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Ceccarelli, M., Grimaldi, D., Lamonaca, F., & Speranza, A. (2009). A computer vision approach to micro-nucleus automatic detection and surface measurements. In 2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009 (pp. 166-171). [5167977] (2009 IEEE International Workshop on Medical Measurements and Applications, MeMeA 2009). https://doi.org/10.1109/MEMEA.2009.5167977