DocumentCode :
1799501
Title :
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
Link To Document :
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