Detection with TensorFlow 1.x

v1.0.0

The Complete Blood Count (CBC) Dataset has been used for automatic identification and counting of blood cells. Download the dataset, unzip and put the Training, Testing, and Validation folder in the working directory. This release version requires TensorFlow v1.

Requirements

• TensorFlow-GPU==1.11.0
• OpenCV==3.4.2
• Cython==0.29.2
• Weights: download the trained weights file for blood cell detection and put the weights folder in the working directory.

Paper

This version of the release was developed for the following blood cell detection paper. If you use the code please cite this paper as:

Machine learning approach of automatic identification and counting of blood cells

@article{alam2019machine,
  title={Machine learning approach of automatic identification and counting of blood cells},
  author={Alam, Mohammad Mahmudul and Islam, Mohammad Tariqul},
  journal={Healthcare Technology Letters},
  volume={6},
  number={4},
  pages={103--108},
  year={2019},
  publisher={IET}
}