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Early Diagnosis of Tuberculosis Using Deep Learning Approach for IOT Based Healthcare Applications

https://doi.org/10.1155/2022/3357508
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1 of the 26 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-21): 10.1155/2022/7799812 (notice 2023-12-29).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ima.22556openalex-snapshot
A semantic contour based segmentation of lungs from chest x‐rays for the classification of tuberculosis using Naïve Bayes classifier
inferredcites →https://doi.org/10.1007/978-3-030-36178-5_48openalex-snapshot
Pre-processing Effects of the Tuberculosis Chest X-Ray Images on Pre-trained CNNs: An Investigation
inferredcites →https://doi.org/10.1007/s00521-015-1923-yopenalex-snapshot
Monarch butterfly optimization
inferredcites →https://doi.org/10.1007/s10916-018-0991-9openalex-snapshot
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs
inferredcites →https://doi.org/10.1007/s13246-020-00966-0openalex-snapshot
Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors
inferredcites →https://doi.org/10.1016/j.cell.2018.02.010openalex-snapshot
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
inferredcites →https://doi.org/10.1016/j.compbiomed.2017.08.001openalex-snapshot
Pre-trained convolutional neural networks as feature extractors for tuberculosis detection
inferredcites →https://doi.org/10.1016/j.compeleceng.2021.107252openalex-snapshot
Deep pre-trained networks as a feature extractor with XGBoost to detect tuberculosis from chest X-ray
inferredcites →https://doi.org/10.1016/j.patrec.2019.11.014openalex-snapshot
Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection
inferredcites →https://doi.org/10.1038/s41598-019-42557-4openalex-snapshot
Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
inferredcites →https://doi.org/10.1038/srep25265openalex-snapshot
An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information
inferredcites →https://doi.org/10.1080/21681163.2020.1808532openalex-snapshot
Deep Learning Methods for Screening Pulmonary Tuberculosis Using Chest X-rays
inferredcites →https://doi.org/10.1109/access.2020.3031384openalex-snapshot
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
inferredcites →https://doi.org/10.1109/tmi.2013.2284099openalex-snapshot
Automatic Tuberculosis Screening Using Chest Radiographs
inferredcites →https://doi.org/10.1109/tmi.2017.2775636openalex-snapshot
Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities?
inferredcites →https://doi.org/10.1155/2015/368674openalex-snapshot
Computer-Aided Lung Nodule Recognition by SVM Classifier Based on Combination of Random Undersampling and SMOTE
inferredcites →https://doi.org/10.1155/2021/3611182openalex-snapshot
A Novel Method to Solve Real Time Security Issues in Software Industry Using Advanced Cryptographic Techniques
inferredcites →https://doi.org/10.1155/2021/4927607openalex-snapshot
Impact of Big Data Analysis on Nanosensors for Applied Sciences Using Neural Networks
inferredcites →https://doi.org/10.1155/2021/8533995openalex-snapshot
Public Auditing Scheme for Integrity Verification in Distributed Cloud Storage System
inferredcites →https://doi.org/10.1155/2022/1128717openalex-snapshot
An Energy Efficient Architecture for Furnace Monitor and Control in Foundry Based on Industry 4.0 Using IoT
inferredcites →https://doi.org/10.1155/2022/1332373openalex-snapshot
Implementation of Hidden Node Detection Scheme for Self‐Organization of Data Packet
inferredcites →https://doi.org/10.1155/2022/1570604openalex-snapshot
Technical Study on 5G Using Soft Computing Methods
inferredcites →https://doi.org/10.1155/2022/6489185openalex-snapshot
Implementation of Reliability Antecedent Forwarding Technique Using Straddling Path Recovery in Manet
inferredcites →https://doi.org/10.1155/2022/7799812openalex-snapshot
[Retracted] Improved Artificial Neural Network with State Order Dataset Estimation for Brain Cancer Cell Diagnosis
inferredcites →https://doi.org/10.3390/app10175749openalex-snapshot
Hybrid Learning of Hand-Crafted and Deep-Activated Features Using Particle Swarm Optimization and Optimized Support Vector Machine for Tuberculosis Screening
inferredcites →https://doi.org/10.3390/sym12071146openalex-snapshot
A Novel Method for Detection of Tuberculosis in Chest Radiographs Using Artificial Ecosystem-Based Optimisation of Deep Neural Network Features

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4514518openalex-extracted
Detection of Tuberculosis Using X-Ray Images with a Hybrid Approach of Cnn and Hog
inferred← citeshttps://doi.org/10.1002/eng2.12906openalex-snapshot
Optimized tuberculosis classification system for chest X‐ray images: Fusing hyperparameter tuning with transfer learning approaches
inferred← citeshttps://doi.org/10.1007/978-3-031-78937-3_42openalex-snapshot
Efficient Diagnosis of Skin Cancer Utilizing Swin Transformers Through Dermatoscopic Image Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-78940-3_47openalex-snapshot
Enhancing Self-attention Training in Transformers for Image Captioning Using ViT and BERT
inferred← citeshttps://doi.org/10.1007/978-3-031-81080-0_46openalex-snapshot
Development of Unique Machine Learning Algorithm for Early Brain Stroke Identification and Detection
inferred← citeshttps://doi.org/10.1007/978-3-031-81083-1_41openalex-snapshot
Multimodal Fusion with Deep Neural Network Architecture for Alzheimer's Disease Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-81083-1_48openalex-snapshot
Development and Implementation of a Scalable Architecture for Smart Healthcare Systems Employing Internet of Things
inferred← citeshttps://doi.org/10.1007/s10791-025-09791-zopenalex-snapshot
An explainable hybrid deep learning system for tuberculosis detection with Grad-CAM
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.107217openalex-snapshot
Towards multi-view sputum smear quality classification
inferred← citeshttps://doi.org/10.1051/e3sconf/202459101002openalex-snapshot
AI and Machine Learning Applications in Predicting Energy Market Prices and Trends
inferred← citeshttps://doi.org/10.1051/e3sconf/202459104004openalex-snapshot
Energy Management System for EV Charging Infrastructure
inferred← citeshttps://doi.org/10.1063/5.0322496openalex-snapshot
Supervised learning-based AI model for early detection of tuberculosis: Implementation of CNN techniques and strategies
inferred← citeshttps://doi.org/10.1080/13682199.2024.2400631openalex-snapshot
Impact of the Internet of Medical Things on Artificial Intelligence-enhanced medical imaging systems from 2019 to 2023
inferred← citeshttps://doi.org/10.1109/access.2024.3505608openalex-snapshot
Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis
inferred← citeshttps://doi.org/10.1109/access.2025.3544923openalex-snapshot
Deep Learning-Based Detection of Tuberculosis Using a Gaussian Chest X-Ray Image Filter as a Software Lens
inferred← citeshttps://doi.org/10.1109/access.2026.3697134openalex-snapshot
Incremental Continual Learning for Tuberculosis Detection Based on Chest X-Ray Images and Synthetic Data Generated by Adversarial Networks
inferred← citeshttps://doi.org/10.1109/ic3ecsbhi63591.2025.10990440openalex-snapshot
Evaluating the Severity of Parkinson's Disease Using Machine Learning Classifiers
inferred← citeshttps://doi.org/10.1109/ic3ecsbhi63591.2025.10990849openalex-snapshot
Hybrid Approach of Deep Convolution Neural Network and Transfer Learning for Tuberculosis Prediction
inferred← citeshttps://doi.org/10.1109/iccai65301.2025.11279604openalex-snapshot
Tuberculosis Detection from Chest X-Rays using InceptionV3, DenseNet121, and EfficientNetB3: Deep Learning Models
inferred← citeshttps://doi.org/10.1109/iccit64611.2024.11022001openalex-snapshot
DeepAc-Web: A Web Based Intelligent System for Acne Severity Grading
inferred← citeshttps://doi.org/10.1109/iccmso58359.2022.00072openalex-snapshot
Retracted: Influence of Adam Optimizer with Sequential Convolutional Model for Detection of Tuberculosis
inferred← citeshttps://doi.org/10.1109/icpects62210.2024.10779986openalex-snapshot
Scripting the Skies : Beyond the Horizon with Machine Learning in Drone Shaped Bird Recognition
inferred← citeshttps://doi.org/10.1109/icpects62210.2024.10780121openalex-snapshot
Towards Resilient Crops: Disease Detection and Pest Control Strategies
inferred← citeshttps://doi.org/10.1109/icpects62210.2024.10780173openalex-snapshot
Diagnosis of Alzheimer Stages by Using CNN Architectures
inferred← citeshttps://doi.org/10.1109/icpects62210.2024.10780362openalex-snapshot
Study of Deep Learning Algorithm for Uncovering Deep Fakes in Online Networking Platform
inferred← citeshttps://doi.org/10.1109/icpects62210.2024.10780380openalex-snapshot
Deep Learning Based Satellite Crop Zone Canvas Analysis
inferred← citeshttps://doi.org/10.1109/rcsm67767.2025.11506888openalex-snapshot
Performance Evaluation of YOLOv8 Models for Automated Tuberculosis Detection
inferred← citeshttps://doi.org/10.1177/1088467x261424996openalex-snapshot
I-DINet: A deep learning approach for multiclass classification of lung diseases in computer-aided diagnosis
inferred← citeshttps://doi.org/10.1186/s41479-024-00133-zopenalex-snapshot
Early detection of tuberculosis: a systematic review
inferred← citeshttps://doi.org/10.3233/jifs-233975openalex-snapshot
Automated Tuberculosis classification using Egret Swarm Optimization with deep learning based fusion model on chest X-ray images
inferred← citeshttps://doi.org/10.3389/fdata.2024.1401981openalex-snapshot
YOLOv8's advancements in tuberculosis identification from chest images
inferred← citeshttps://doi.org/10.3390/diagnostics14111174openalex-snapshot
TSSG-CNN: A Tuberculosis Semantic Segmentation-Guided Model for Detecting and Diagnosis Using the Adaptive Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/diagnostics14242790openalex-snapshot
Convolutional Neural Network–Vision Transformer Architecture with Gated Control Mechanism and Multi-Scale Fusion for Enhanced Pulmonary Disease Classification
inferred← citeshttps://doi.org/10.3390/jcm12010303openalex-snapshot
Diagnostic Accuracy of the Artificial Intelligence Methods in Medical Imaging for Pulmonary Tuberculosis: A Systematic Review and Meta-Analysis
inferred← citeshttps://doi.org/10.4018/ijsir.329217openalex-snapshot
CT Image Detection of Pulmonary Tuberculosis Based on the Improved Strategy YOLOv5
inferred← citeshttps://doi.org/10.47392/irjash.2023.042openalex-snapshot
IoT- Edge Deep Learning EHealth Monitoring System
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