Accession Number : ADA411502
Title : A Neural Network Based Workstation for Automated Cell Proliferation Analysis
Descriptive Note : Conference paper
Corporate Author : UNIVERSIDAD NACIONAL AUTONOMA DE MEXICOMEXICO CITY
Personal Author(s) : Arambula Cosio, F. ; Vega, L. ; Herrera Becerra, A. ; Prieto Melendez, R. ; Corkidi, G.
Full Text : http://www.dtic.mil/get-tr-doc/pdf?AD=ADA411502
Report Date : 25 OCT 2001
Pagination or Media Count : 5
Abstract : In this paper is reported the development of a neural network (NN) based workstation for automated cell proliferation analysis, of cytological microscope images. The software of the system assists the expert biotechnologist during cell proliferation and chromosome aberration studies by automatically identifying metaphase spreads and stimulated nuclei on each digital image. After manual edition of metaphase false positives, the system automatically calculates the mitotic index (MI) i,e, the ratio of metaphases to stimulated nuclei of a given tissue sample. The system reported has been able to classify correctly approximately 91% of the metaphases and stimulated nuclei, in a test set of 191 mitosis, 331 nuclei, and 387 artifacts, obtained from 30 different microscope slides. Manual edition of false positives from the metaphase classification results allows the calculation of the MI with an error of 6.5%.
Descriptors : *IMAGE PROCESSING , *CELL DIVISION , *AUTOMATIC , NEURAL NETS , MUTATIONS , CHROMOSOMES , MEXICO , MITOSIS.
Subject Categories : ANATOMY AND PHYSIOLOGY
Distribution Statement : APPROVED FOR PUBLIC RELEASE