A genetic algorithm-neural network approach for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue slide images

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A genetic algorithm-neural network approach for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue slide images

This paper describes a method using image processing and genetic algorithm-neural network (GA-NN) for automated Mycobacterium tuberculosis detection in tissues. The proposed method can be used to assist pathologists in tuberculosis (TB) diagnosis from tissue sections and replace the conventional man...

書誌詳細
出版年:	Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
第一著者:	Osman M.K.; Ahmad F.; Saad Z.; Mashor M.Y.; Jaafar H.
フォーマット:	Conference paper
言語:	English
出版事項:	2010
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-79851505830&doi=10.1109%2fISDA.2010.5687018&partnerID=40&md5=3259a833b1800b6ff1d8dcedb409f7c2

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