2017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	2017
學科	機器人與智能機器 Robotics and Intelligent Machines
國家/州	United States of America

獲獎作品名稱

Utilizing Machine Learning Techniques to Identify Cancerous Skin Lesions

獲獎作品摘要

Skin cancer is the most common form of cancer.? When diagnosed early, there is a 98% survival rate.? However, once the cancer metastasizes, the survival rate decreases dramatically to 18%.? The objectives of this study were to (a) use machine learning techniques to better identify the behavior of moles and accelerate the diagnosis of these skin lesions and (b) to minimize the computational cost of training these techniques.? The project included assembling the datasets, building a simple feedforward neural network, and applying different convolutional neural networks.? Additionally, I assembled a workstation to accelerate the neural networks.? My project compared simple feedforward neural networks (FNN) to convolutional neural networks (CNN) in a melanoma image classification task.? I programmed my neural networks in Python using Tensorflow and NVIDIA DIGITS, respectively.

The networks were trained using images subset of the International Skin Imaging Collaboration dataset (ISIC).? The ISIC database has 2000 images that have been collected by dermatologists in an effort to standardize dermatological images.? Three different types of datasets used in machine learning: training, validation, and testing.? The results show the Alexnet CNN outperformed the simple FNN because of its inherent complexity and ability to process images more effectively, at the cost of computational resources.? The simple FNN, which can be trained more quickly, received about 70% accuracy.? The CNN, which required a GPU to accelerate, achieved an 85% accuracy which was better than available programs and close to the 88% accuracy by diagnosis through a dermatologist.

 

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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.