Hybrid multilayered perceptron network trained by modified recursive prediction error-extreme learning machine for tuberculosis bacilli detection
In this paper, image processing technique and artificial neural network are used to detect and classify the tuberculosis (TB) bacilli in tissue slide images. The tissue sections consisting of TB bacilli are stained using the Ziehl-Neelsen method and their images are acquired using a digital camera m...
الحاوية / القاعدة: | IFMBE Proceedings |
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المؤلف الرئيسي: | Osman M.K.; Mashor M.Y.; Jaafar H. |
التنسيق: | Conference paper |
اللغة: | English |
منشور في: |
2011
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الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959938963&doi=10.1007%2f978-3-642-21729-6_163&partnerID=40&md5=5ce04ed48663646c067ada947be7c1ce |
مواد مشابهة
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Detection of tuberculosis bacilli in tissue slide images using HMLP network trained by Extreme Learning Machine
بواسطة: Osman M.K.; Mashor M.Y.; Jaafar H.
منشور في: (2012) -
Detection of mycobacterium tuberculosis in Ziehl-Neelsen stained tissue images using Zernike moments and hybrid multilayered perceptron network
بواسطة: Osman M.K.; Mashor M.Y.; Jaafar H.
منشور في: (2010) -
Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and extreme learning machine
بواسطة: Osman M.K.; Mashor M.Y.; Jaafar H.
منشور في: (2011) -
Performance comparison of clustering and thresholding algorithms for tuberculosis bacilli segmentation
بواسطة: Osman M.K.; Mashor M.Y.; Jaafar H.
منشور في: (2012) -
Segmentation of tuberculosis bacilli in Ziehl-Neelsen-stained tissue images based on K-mean clustering procedure
بواسطة: Osman M.K.; Mashor M.Y.; Saad Z.; Jaafar H.
منشور في: (2010)