Tuberculosis bacteria detection based on Random Forest using fluorescent images

@article{Zheng2016TuberculosisBD,
  title={Tuberculosis bacteria detection based on Random Forest using fluorescent images},
  author={Chi Zheng and Jingxin Liu and Guoping Qiu},
  journal={2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)},
  year={2016},
  pages={553-558}
}
Tuberculosis (TB) is an infectious disease in low and middle-income countries. There are many methods of physical examinations for tuberculosis detection, but the most effective method is visual examination using microscopes, including fluorescent microscopy and bright field microscopy. However, according to the analysis of previous research work, the… CONTINUE READING