A Hybrid Knowledge-Guided Detection Technique for Screening of Infectious Pulmonary Tuberculosis From Chest Radiographs
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx5/10/5601977/05508374.pdf?arnumber=5508374
Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A robust ensemble deep learning framework for accurate diagnoses of tuberculosis from chest radiographs;Frontiers in Medicine;2024-07-22
2. Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis;Diagnostics;2023-09-01
3. LesionTalk: Core Data Extraction and Multi-class Lesion Detection in IoT-based Intelligent Healthcare;ACM Transactions on Sensor Networks;2023-03
4. Chest X-ray Image Classification Using Convolutional Neural Network to Identify Tuberculosis;Intelligent Computing and Optimization;2023
5. Diagnostic Accuracy of the Artificial Intelligence Methods in Medical Imaging for Pulmonary Tuberculosis: A Systematic Review and Meta-Analysis;Journal of Clinical Medicine;2022-12-30
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