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X Summer School

Achievements and Applications
of Contemporary Informatics, Mathematics and Physics
August 4-18, 2015, Kyiv (Ukraine)

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Using Neural Networks for Diabetic Retinopathy Detection in Eye Images

Abstract:

Currently, detecting DR is a time-consuming and manual process that requires a trained clinician to examine and evaluate digital color fundus photographs of the retina. By the time human readers submit their reviews, often a day or two later, the delayed results lead to lost follow up, miscommunication, and delayed treatment (from http://www.kaggle.com/c/diabetic-retinopathy-detection).

Thus, we will try to develop an automated method for detecting DR in eye images using machine learning techniques in particular we will try Neural Networks approach. First, we will start with implementing simple Softmax classifier, later substituting it with three-layer artificial neural network, ultimate goal is to try to build a convolutional neural network for image classification. In this project we will follow up the Convolutional Neural Networks Course, which is an open online course from Stanford (http://cs231n.github.io/).

Project prerequisites:

  • Matrix/vector arithmetics
  • Introduction to machine learning:
    • Classification/regression (hands on some basic classifiers)
    • Cost function optimization (gradient descent)
    • Cross validation techniques (leave-one-out cross validation, ten-fold cross validation)
    • Overfitting/underfitting
    • Parameters tuning (grid search/random search)
    • Model evaluation
  • Programming language: Python
  • Introduction to Neural Networks

Associated topics:

Image classification, neural networks, cost function optimization, parameters tuning, comparing models

Planned lectures:

  • Introducation to Python

About lecturer:

Mr. Dmytro Fishman,
PhD student, junior researcher at the University of Tartu.


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  • About us
    • What is AACIMP?
    • Organizers
    • Contact us
    • Kyiv
  • Partners
    • How to get involved
    • Financial
    • Media
    • Corporate Sponsorship
    • Travel
    • In kind
  • Program
    • Smart Cities
    • 3D Printing
    • Computational Neuroscience
    • Applied Computer Science
    • Poster Session
    • Plenary Session
    • Student Projects
    • AACIMP 2013
    • AACIMP 2014
  • Participation
    • General schedule
    • How to apply?
    • Eligible students
    • Student responsibilities
  • Tuition
    • Registration fees
    • How to pay?
    • Discounts & scholarships
  • Housing
    • Accommodation
    • Dining services
    • Travel information
    • Visa information
  • Impressions
    • Photo memories
    • Video memories
    • Organizers impressions
    • Alumni opinions
  • Promotion
  • FAQ