Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images

Author:

Sharma Vinayak,Nillmani ORCID,Gupta Sachin Kumar,Shukla Kaushal KumarORCID

Publisher

Elsevier BV

Subject

Health Informatics,Medicine (miscellaneous),Biomedical Engineering,Artificial Intelligence

Reference60 articles.

1. Tuberculosis screening among children and adolescents in China: insights from a mathematical model;Estill;Intell Med,2022

2. Design of high-order antibiotic combinations against M. tuberculosis by ranking and exclusion;Yilancioglu;Sci Rep,2019

3. Limits of chest X-ray investigation in the diagnosis of recurrent pulmonary tuberculosis;Ito;Kekkaku (Tuberculosis),2005

4. Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges;Hesamian;J Digit Imaging,2019

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1. Deep learning-based comprehensive review on pulmonary tuberculosis;Neural Computing and Applications;2024-01-24

2. Bare‐Bones particle Swarm optimization‐based quantization for fast and energy efficient convolutional neural networks;Expert Systems;2023-12-17

3. Detection of TB from Chest X-ray: A Study with EfficientNet;2023 International Conference on System, Computation, Automation and Networking (ICSCAN);2023-11-17

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