2018英特爾ISEF獲獎作品摘要 機器人與智能機器（人工智能） Intel Finalist Abstract Robotics and Intelligent Machines (AI)

獲獎作品基本信息

年份	2018
學科	機器人與智能機器 Robotics and Intelligent Machines
國家/州	Ghana

獲獎作品名稱

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

獲獎作品摘要

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 英特爾 Intel ISEF
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高中生科研學術活動 英特爾 Intel ISEF 簡介

英特爾國際科學與工程大獎賽，簡稱 "ISEF"，由美國 Society for Science and the Public（科學和公共服務協會）主辦，英特爾公司冠名贊助，是全球規模最大、等級最高的中學生的科研科創賽事。ISEF 的學術活動學科包括了所有數學、自然科學、工程的全部領域和部分社會科學。ISEF 素有全球青少年科學學術活動的“世界杯”之美譽，旨在鼓勵學生團隊協作，開拓創新，長期專一深入地研究自己感興趣的課題。

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英特爾 ISEF 學術活動詳細介紹

英特爾 ISEF 全程指導方案

· 數學 · 物理 · 化學 · 生物 · 計算機 · 工程 ·

學科簡介：機器人與智能機器 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.