SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection

@article{Gairola2021SmartKCSC,
  title={SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection},
  author={Siddhartha Gairola and Murtuza Bohra and Nadeem Shaheer and Navya Jayaprakash and Pallavi Joshi and Anandh Balasubramaniam and Kaushik Murali and Nipun Kwatra and Mohit Jain},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.01354}
}
Keratoconus is a severe eye disease affecting the cornea (the clear, dome-shaped outer surface of the eye), causing it to become thin and develop a conical bulge. The diagnosis of keratoconus requires sophisticated ophthalmic devices which are non-portable and very expensive. This makes early detection of keratoconus inaccessible to large populations in low-and middle-income countries, making it a leading cause for partial/complete blindness among such populations. We propose SmartKC , a low… 
Keratoconus Classifier for Smartphone-based Corneal Topographer
TLDR
This work proposes a dual-head convolutional neural network (CNN) for classifying keratoconus on the heatmaps generated by SmartKC, and developed a 2-stage transfer learning strategy—using historical data collected from a medical-grade topographer and a subset of SmartKC data—to satisfactorily train the network.

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