2018英特尔ISEF获奖作品摘要 机器人与智能机器（人工智能） Intel Finalist Abstract Robotics and Intelligent Machines (AI)

获奖作品基本信息

年份	2018
学科	机器人与智能机器 Robotics and Intelligent Machines
国家/州	Ghana

获奖作品名称

Developing an Algorithm for Detecting Diabetic Retinopathy from Retinal Images Using Machine Learning

获奖作品摘要

Purpose: Diabetic retinopathy, an eye disease that damages the light-sensitive retina, affects an estimated total of 93 million people globally. As one of the leading causes of blindness, it is imperative that this disease be diagnosed early. However, for the 270,000 patients suffering from diabetes in Ghana, there are only 2 ophthalmic nurses qualified enough to take the fundal pictures needed to assess retinal damage, which would, in turn, take at least two days. In order to discover a more efficient method of diagnosis, we explored using machine learning to diagnose diabetic retinopathy using fundal images.

Procedure: First, fundal images were imported and converted to matrices of pixel values from 0 to 255. Next, features were extracted from these matrices via various extraction methods, including using pretrained Convolutional Neural Networks and Principle Component Analysis. The data accompanying these images was extracted and converted into labels, which was used to train and test different classification models. The precision and efficiency of each classification model was printed out after training and testing.

Results: The highest attained accuracy was 80%, using either the SVM classification model (with the rbf or sigmoid kernel), the NearestNeighbours classification model (with at least 13 Neighbours) or the Gaussian process (with the ConstantKernel kernel) for the Resnet34, Resnet18 and VGG11 extraction methods.

Conclusion: The results prove that the trained model can diagnose a patient with diabetic retinopathy based on fundal images, and can return the accuracy of its diagnosis.

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高中生科研 英特尔 Intel ISEF
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高中生科研学术活动 英特尔 Intel ISEF 简介

英特尔国际科学与工程大奖赛，简称 "ISEF"，由美国 Society for Science and the Public（科学和公共服务协会）主办，英特尔公司冠名赞助，是全球规模最大、等级最高的中学生的科研科创赛事。ISEF 的学术活动学科包括了所有数学、自然科学、工程的全部领域和部分社会科学。ISEF 素有全球青少年科学学术活动的“世界杯”之美誉，旨在鼓励学生团队协作，开拓创新，长期专一深入地研究自己感兴趣的课题。

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英特尔 ISEF 学术活动详细介绍

英特尔 ISEF 全程指导方案

· 数学 · 物理 · 化学 · 生物 · 计算机 · 工程 ·

学科简介：机器人与智能机器 Robotics and Intelligent Machines

Studies in which the use of machine intelligence is paramount to reducing the reliance on human intervention.

Subcategories:

Biomechanics (BIE): Studies and apparatus which mimic the role of mechanics in biological systems.

Cognitive Systems (COG): Studies/apparatus that operate similarly to the ways humans think and process information. Systems that provide for increased interaction of people and machines to more naturally extend and magnify human expertise, activity, and cognition.

Control Theory (CON): Studies that explore the behavior of dynamical systems with inputs, and how their behavior is modified by feedback.  This includes new theoretical results and the applications of new and established control methods, system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation.

Machine Learning (MAC): Construction and/or study of algorithms that can learn from data.

Robot Kinematics (KIN): The study of movement in robotic systems.

Other (OTH): Studies that cannot be assigned to one of the above subcategories. If the project involves multiple subcategories, the principal subcategory should be chosen instead of Other.