DocumentCode :
2516406
Title :
Design of analogic CNN algorithms for mammogram analysis
Author :
Zarándy, Á ; Roska, T. ; Liszka, Gy ; Hegyesi, J. ; Kék, L. ; Rekeczky, Cs
Author_Institution :
Analogical & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest, Hungary
fYear :
1994
fDate :
18-21 Dec 1994
Firstpage :
255
Lastpage :
260
Abstract :
CNN analogic algorithms were developed for detecting the features of breast cancer on X-ray mammograms
Keywords :
cellular neural nets; diagnostic radiography; medical image processing; Analogic CNN Universal Machine; Cellular Neural Networks; X-ray mammograms; analogic CNN algorithms; breast cancer; image analysis; mammogram analysis; Algorithm design and analysis; Breast neoplasms; Cancer; Cellular neural networks; Image analysis; Image restoration; Malignant tumors; Testing; Turing machines; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
Type :
conf
DOI :
10.1109/CNNA.1994.381670
Filename :
381670
Link To Document :
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