/kaggle-cervix

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45th solution for Intel & MobileODT Cervical Cancer Screening challenge

The task in the competition organized by kaggle.com was to develop an algorithm which accurately identifies a woman’s cervix type based on images.

In this repository we presented our results. The scripts contain information about data preprocessing and deep neural nets. Student project, students of the Faculty of Physics of the University of Warsaw: Miłosz Danilczuk, Maciej Śliwowski and Mateusz Szwerbel took part.

They were on the 45th (of 848) position on the leaderboard.

More information and data can be found here: Challenge on kaggle.

The supervisor of the project was Ph.D. Jarosław Żygierewicz.