Cervical Cancer Screening

Uses

To use deep learning for providing automated solutions for disease diagnosis due to its self-learning capability.
To propose a deep learning method for the detection of colorectal polyps from colonoscopy videos using CNN to enhance the accuracy and sensitivity of the existing methods.

Specifications

  • The proposed work is inspired from the ALexNet Model of CNN and called as the containing 6 layers in the first approach,a layer removed in second approach and then with a layer added.
  • All three were executed for 50 epochs having batchsize of 64, dropout-rate of 0.5, number of classes-2 and learning rate of 1e-4.

Applications

The automated system can save the traditional manual and time consuming processes.

The proposed CAD system can be used for large scale screening of colorectal polyps at the medical institutes.

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