The concept of tuberculosis detection paves a major role in this recent world because, according to the Global Tuberculosis (TB) Report in 2019, more than one million cases are reported per year in India. Even though various tests are available, the chest X-ray is the most important one, without which the detection will be incomplete. In ancient poster anterior chest radiographs, several clinical and diagnostic functions are built by the use of computationally designed algorithms.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

Documentation: 
AttachmentSize
File MAIN.docx22.92 KB
[1] EMIL PAUL, "Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/ecpt-qs91. Accessed: Apr. 12, 2024.
@data{ecpt-qs91-21,
doi = {10.21227/ecpt-qs91},
url = {http://dx.doi.org/10.21227/ecpt-qs91},
author = {EMIL PAUL },
publisher = {IEEE Dataport},
title = {Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization},
year = {2021} }
TY - DATA
T1 - Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization
AU - EMIL PAUL
PY - 2021
PB - IEEE Dataport
UR - 10.21227/ecpt-qs91
ER -
EMIL PAUL. (2021). Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization. IEEE Dataport. http://dx.doi.org/10.21227/ecpt-qs91
EMIL PAUL, 2021. Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization. Available at: http://dx.doi.org/10.21227/ecpt-qs91.
EMIL PAUL. (2021). "Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization." Web.
1. EMIL PAUL. Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/ecpt-qs91
EMIL PAUL. "Computer-Aided Diagnosis using Hybrid Technique for Fastened and Accurate Analysis of Tuberculosis Detection with Adaboost And Learning Vector Quantization." doi: 10.21227/ecpt-qs91