Cellular neural networks assisted automatic detection of elements in microscopic medical images. A preliminary study

Author

Botoca, Corina

Author_Institution

Commun. Dept., Univ. Politeh. Timisoara, Timisoara, Romania

fYear

2014

fDate

14-15 Nov. 2014

Firstpage

1

Lastpage

4

Abstract

This paper presents a new algorithm for object recognition in medical microscopic images, assisted by a cellular neural network (CNN). The CNN flowchart and its component parts are described based on successions of interconnections templates. The experiments results are shown and they appear to be promising. Our results sustain the usability of CNN as a real time processing tool for assisting the medical act.

Keywords

biomedical optical imaging; cellular neural nets; flowcharting; medical image processing; object detection; optical microscopy; real-time systems; CNN component part; CNN flowchart; cellular neural network assisted automatic detection; interconnection template succession; microscopic medical image element detection; object recognition algorithm; real time processing tool; Cellular neural networks; Computers; Crystals; Medical diagnostic imaging; Microscopy; Noise reduction; cellular neural networks; cloning template; medical images processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Telecommunications (ISETC), 2014 11th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4799-7266-1

Type

conf

DOI

10.1109/ISETC.2014.7010801

Filename

7010801