DocumentCode :
3306307
Title :
Colon cancer diagnosis on digital tissue images
Author :
Kerekes, Zoltan ; Toth, Zoltan ; Szenasi, S. ; Vamossy, Zoltan ; Sergyan, Szabolcs
Author_Institution :
Inst. of Software Eng., Obuda Univ., Budapest, Hungary
fYear :
2013
fDate :
8-10 July 2013
Firstpage :
159
Lastpage :
163
Abstract :
The purpose of this project is to develop a software which can be an aid for difficult colon cancer diagnosis and using this system the patients can be helped with an early diagnosis. The aim can be achieved with processing and analysing microscopic tissue images. This paper contains the basic knowledges related to the project and the description of the developed system. The implemented algorithms determines the locations and features of glands and save these information for the subsequent diagnosis. One of the most important algorithm in this project is the Color Structure Code, which performs a color based segmentation and the output is the starting point of the further process.
Keywords :
biological tissues; cancer; image colour analysis; image segmentation; medical image processing; patient diagnosis; colon cancer diagnosis; color based segmentation; color structure code; digital tissue images; medical image processing; microscopic tissue images; software development; Algorithm design and analysis; Cancer; Colon; Colored noise; Glands; Image color analysis; Image segmentation; colon cancer diagnosis; gland detection; medical image processing; nucleus detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on
Conference_Location :
Tihany
Print_ISBN :
978-1-4799-0060-2
Type :
conf
DOI :
10.1109/ICCCyb.2013.6617580
Filename :
6617580
Link To Document :
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