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Technical Report
  • Tushar,
  • Tarun Kumar
Tushar
Panjab University
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Tarun Kumar
Author Profile

Abstract

Cervical cancer can be treated when its found early. The type of a patient's cervix determines the types of precancer treatments the patient can undergo and the medical community can benefit from an efficient method to classify a patient by their cervix types. Kaggle and Mobile ODT have published a collection of several thousand photographs of cervixes, each labelled as one of three types. Further, if the classification is available through mobile, it can be easily accessed by clinics in the remote area and further benefit the medical community. An Android app will be developed that lets user take images of the cervix and upload them to the server, on which a classifier trained using deep neural nets will classify the images and respond to the proper type.