A Novel Method for Detection of Tuberculosis in Chest Radiographs Using Artificial Ecosystem-Based Optimisation of Deep Neural Network Features

A Novel Method for Detection of Tuberculosis in Chest Radiographs Using Artificial Ecosystem-Based Optimisation of Deep Neural Network Features

Tuberculosis (TB) is is an infectious disease that generally attacks the lungs and causes death for millions of people annually. Chest radiography and deep-learning-based image segmentation techniques can be utilized for TB diagnostics. Convolutional Neural Networks (CNNs) has shown advantages in me...

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Bibliographic Details
Main Authors: Ahmed T. Sahlol, Mohamed Abd Elaziz, Amani Tariq Jamal, Robertas Damaševičius, Osama Farouk Hassan
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Symmetry
Subjects:
Tuberculosis (TB)
transfer learning
convolutional neural networks
deep learning
Artificial Ecosystem-based Optimization
image processing
Online Access:https://www.mdpi.com/2073-8994/12/7/1146

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