Tuberculosis chest X-ray detection using CNN-based hybrid segmentation and classification approach

Author:

Iqbal Ahmed,Usman Muhammad,Ahmed Zohair

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference58 articles.

1. Michael Gibson, Mashal Awais, Alejandro Lemor, Tuberculosis Chest X ray, 2022, https://www.wikidoc.org/index.php/Tuberculosis_chest_x_ray (accessed October 26, 2022).

2. Pneumonia detection from lung X-ray images using local search aided sine cosine algorithm based deep feature selection method;Chattopadhyay;Int. J. Intell. Syst.,2021

3. World Health Organization, Tuberculosis in South-East Asia Region (2021). https://www.who.int/southeastasia/health-topics/tuberculosis (accessed June 3, 2022).

4. A deep learning system that generates quantitative CT reports for diagnosing pulmonary Tuberculosis;Li;Appl. Intell.,2021

5. V. Indumathi, R. Siva, An efficient lung disease classification from X-ray images using hybrid Mask-RCNN and BiDLSTM, Biomed. Signal Process. Control. (2022) 104340, https://doi.org/10.1016/j.bspc.2022.104340.

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