Detection of Tuberculosis Bacilli in Tissue Slide Images using HMLP Network Trained by Extreme Learning Machine

作者：Osman M K^*; Mashor M Y; Jaafar H

来源：Elektronika ir Elektrotechnika, 2012, 120(4): 69-74.

DOI：10.5755/j01.eee.120.4.1456

M. K. Osman, M. Y. Mashor, H. Jaafar. Detection of Tuberculosis Bacilli in Tissue Slide Images using HMLP Network Trained by Extreme Learning Machine // Electronics and Electrical Engineering. - Kaunas: Technologija, 2012. - No. 4(120). - P. 69-74. %26lt;br%26gt;This paper proposes an automated detection of tuberculosis bacilli in Ziehl-Neelsen-stained tissue slides using image processing and neural network. Image segmentation using CY-based colour filter and k-mean clustering procedure is used to separate objects of interest from the background. A number of geometrical features are then extracted from the segmented images. A recent training algorithm called Extreme Learning Machine (ELM) is modified to train a hybrid multilayered perceptron network (HMLP) for the classification task. The results indicate that the performance of HMLP-ELM network is comparable to the previously proposed methods and offers a fast training time with no designing parameter required. Ill. 6, bibl. 15, tabl. 1 (in English; abstracts in English and Lithuanian).

• 出版日期2012