Compact single hidden layer feedforward network for mycobacterium tuberculosis detection
Advances in imaging technology and artificial intelligence have greatly enhanced the research and development of computer-aided tuberculosis (TB) diagnosis system. The system aims to assist medical technologist and improve the accuracy of clinical diagnosis. A typical architecture of a computer-aide...
Published in: | Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011 |
---|---|
Main Author: | Osman M.K.; Noor M.H.M.; Mashor M.Y.; Jaafar H. |
Format: | Conference paper |
Language: | English |
Published: |
2011
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84862113556&doi=10.1109%2fICCSCE.2011.6190565&partnerID=40&md5=08bbaac8449a130d7833179c0ebfa197 |
Similar Items
-
Detection of mycobacterium tuberculosis in Ziehl-Neelsen stained tissue images using Zernike moments and hybrid multilayered perceptron network
by: Osman M.K.; Mashor M.Y.; Jaafar H.
Published: (2010) -
A genetic algorithm-neural network approach for mycobacterium tuberculosis detection in Ziehl-Neelsen stained tissue slide images
by: Osman M.K.; Ahmad F.; Saad Z.; Mashor M.Y.; Jaafar H.
Published: (2010) -
Detection of tuberculosis bacilli in tissue slide images using HMLP network trained by Extreme Learning Machine
by: Osman M.K.; Mashor M.Y.; Jaafar H.
Published: (2012) -
Hybrid multilayered perceptron network trained by modified recursive prediction error-extreme learning machine for tuberculosis bacilli detection
by: Osman M.K.; Mashor M.Y.; Jaafar H.
Published: (2011) -
Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and extreme learning machine
by: Osman M.K.; Mashor M.Y.; Jaafar H.
Published: (2011)