Automatic diagnosis of tuberculosis disease based on plasmonic ELISA and color-based image classification

Tuberculosis (TB) remains one of the most devastating infectious diseases and its treatment efficiency is majorly influenced by the stage at which infection with the TB bacterium is diagnosed. The available methods for TB diagnosis are either time consuming, costly or not efficient. This study emplo...

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Bibliographic Details
Main Authors: Abuhassan, Kamal J., Mohd Bakhori, Noremylia, Kusnin, Norzila, Mohd Azmi, Umi Zulaikha, Tania, Marzia Hoque, Evans, Benjamin Andrew, Yusof, Nor Azah, Hossain, Mohammed Alamgir
Format: Conference or Workshop Item
Language:English
Published: IEEE 2017
Online Access:http://psasir.upm.edu.my/id/eprint/65347/1/65347.pdf
http://psasir.upm.edu.my/id/eprint/65347/
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