A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection

A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection

Tuberculosis (TB) is the most serious worldwide infectious disease and the leading cause of death among people with HIV. Early diagnosis and prompt treatment can cut off the rising number of TB deaths, and analysis of chest X-rays is a cost-effective method. We describe a deep learning-based cascade...

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Bibliographic Details
Main Authors: Noppadol Maneerat, Athasart Narkthewan, Kazuhiko Hamamoto
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
atrous convolution
Bayesian Optimization
chest radiographs
tuberculosis detection
deep convolutional neural networks
DeepLabv3+
Online Access:https://www.mdpi.com/2076-3417/15/13/7300
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