Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43154, first published .
Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Machine and Deep Learning for Tuberculosis Detection on Chest X-Rays: Systematic Literature Review

Journals

  1. Liang X, Tang K, Ke X, Jiang J, Li S, Xue C, Deng J, Liu X, Yan C, Gao M, Zhou J, Zhao L. Development of an MRI‐Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor. Journal of Magnetic Resonance Imaging 2024;60(2):523 View
  2. Özkurt C. Improving Tuberculosis Diagnosis using Explainable Artificial Intelligence in Medical Imaging. Journal of Mathematical Sciences and Modelling 2024;7(1):33 View
  3. Chen B, Sheng W, Wu Z, Ma B, Cao N, Li X, Yang J, Yuan X, Yan L, Zhu G, Zhou Y, Huang Z, Zhu M, Ding X, Du H, Wan Y, Gao X, Cheng X, Xu P, Zhang T, Tao K, Shuai X, Cheng P, Gao Y, Zhang J. Machine learning based peri-surgical risk calculator for abdominal related emergency general surgery: a multicenter retrospective study. International Journal of Surgery 2024 View

Books/Policy Documents

  1. Ahamed M, Nahiduzzaman M, Islam M, Rahman T, Islam K, Altyeb A, Chowdhury M. Surveillance, Prevention, and Control of Infectious Diseases. View
  2. Yousif D, Mesilhy R, Aly R, Hegazi S, Yousif Z, Cyprian F, Abdallah A. Surveillance, Prevention, and Control of Infectious Diseases. View
  3. Juárez-Gonzalez B, Villalba-Meneses F, Cruz-Varela J, Tirado-Espín A, Vizcaino-Imacaña P, Cadena-Morejon C, Guevara C, Almeida-Galárraga D. Information and Communication Technologies. View