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This project classifies infected and non-infected cells for malaria diagnosis

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ellyanalinden/malaria_detection_cnn

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Malaria Detection

Table of Contents

  • Project description
  • Development Tools
  • Result and Conclusion
  • References

Project description

Building a CNN model using transfer learning (DenseNet 201) for malaria detection

Development Tools

  • PyTorch Framework

Result & Conclusion

I used DenseNet 201. The accuracy is 98%. VGG19 with accuracy of 93%.

References

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This project classifies infected and non-infected cells for malaria diagnosis

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