• Corpus ID: 221397092

Deep unsupervised learning for Microscopy-Based Malaria detection

@article{Tao2020DeepUL,
  title={Deep unsupervised learning for Microscopy-Based Malaria detection},
  author={Alexander Tao and Boran Han},
  journal={arXiv: Image and Video Processing},
  year={2020}
}
Malaria, a mosquito-borne disease caused by a parasite, kills over 1 million people globally each year. People, if left untreated, may develop severe complications, leading to death. Effective and accurate diagnosis is important for the management and control of malaria. Our research focuses on utilizing machine learning to improve the efficiency in Malaria diagnosis. We utilize a modified U-net architecture, as an unsupervised learning model, to conduct cell boundary detection. The blood cells… 

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