A hybrid knowledge-guided detection technique for screening of infectious pulmonary tuberculosis from chest radiographs

IEEE Transactions on Bio-medical Engineering
Rui ShenAnup Basu

Abstract

Tuberculosis (TB) is a deadly infectious disease and the presence of cavities in the upper lung zones is a strong indicator that the disease has developed into a highly infectious state. Currently, the detection of TB cavities is mainly conducted by clinicians observing chest radiographs. Diagnoses performed by radiologists are labor intensive and very often there is insufficient healthcare personnel available, especially in remote communities. After assessing existing approaches, we propose an automated segmentation technique which takes a hybrid knowledge-based Bayesian classification approach to detect TB cavities automatically. We apply gradient inverse coefficient of variation (GICOV) and circularity measures to classify detected features and confirm true TB cavities. By comparing with non hybrid approaches and the classical active contour techniques for feature extraction in medical images, experimental results demonstrate that our approach achieves high accuracy with a low false positive rate in detecting TB cavities.

References

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Jan 29, 2009·IEEE Transactions on Bio-medical Engineering·Tao WangAnup Basu
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Citations

Dec 20, 2014·Computational and Mathematical Methods in Medicine·Ravichandran C Gopalakrishnan, Veerakumar Kuppusamy
Jul 5, 2011·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Ulaş BağcıDaniel J Mollura
Dec 22, 2015·Medical Image Analysis·Pragnya MaduskarBram van Ginneken
Mar 21, 2016·International Journal of Computer Assisted Radiology and Surgery·K C SantoshGeorge R Thoma
Oct 11, 2013·IEEE Transactions on Medical Imaging·Stefan JaegerClement J McDonald
Aug 28, 2014·IEEE Transactions on Medical Imaging·Jaime MelendezClara I Sanchez
Jan 25, 2012·IEEE Transactions on Bio-medical Engineering·D K IakovidisG Papamichalis
Sep 11, 2020·Journal of Healthcare Engineering·Yilin XieZhongyuanlong Chen
Aug 24, 2018·Biomedical Engineering Online·Chunli QinZhijian Song

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