IMAGE Team - The Pantheon project

Tutorial: Extracting Serous Cell Nucleus

Identification

Resources

I. Objective

This is a biological application in the context of cancer screening. The purpose is to assist cytotechnologists in finding suspect or abnormal cells from the analysis of serous cytology images. The typical image processing goal is to locate each cell in an image by segmenting images into regions of individual cells. These regions are then fed into a classifier which has been trained to identify the cellular types (especially cancer cells).

Input image.The result image.

II. Method

The method is composed of two stages:

  1. Illumination correction
  2. Extraction of serous cell nuclei.

III. The Complete Pandore Script


The Pantheon project
Image Team GREYC Laboratory
UMR CNRS 6072 - ENSICAEN - University of Caen, France
This page was last modified on 17 June 2013