| 年份 | 2017 |
| 學(xué)科 | 機(jī)器人與智能機(jī)器 Robotics and Intelligent Machines |
| 國(guó)家/州 | United States of America |
Detecting Abnormal Cells Using Artificial Intelligence
Diseases that cause abnormal cells affect millions of individuals. These irregularly shaped cells can be detected visually through a blood smear. A way to automate the detection of abnormal cells using artificial intelligence is necessary as it removes the work for scientists to identify cells and it can lead to more precise results. This system would not require the need for a scientist to analyze the blood smear, so it could be implemented inexpensively in rural places where access to sophisticated medical facilities is limited. For the purposes of this project, sickle cells were used as the abnormal cell. To reach the goal, an application was written in Java to identify sickle cells in images of blood smears using various image-processing algorithms. The application uses a given set of data consisting of the area and circumference of various cell types to generate an algorithm to distinguish sickle cells from healthy cells. The application then analyzes a given blood smear image and processes the detected cells with its own algorithm. It outputs colored rectangular box placed around cells, identifying whether they are healthy red blood cells or sickle cells. The project was concluded developing an application that uses artificial intelligence to develop its own algorithm to distinguish sickle cells from healthy cells. It's planned to expand on this concept by enhancing the program to interface directly with microscopes and detect other diseases. The ultimate goal is to implement this application in places where resources for diagnosing abnormal cell diseases are limited.
英特爾國(guó)際科學(xué)與工程大獎(jiǎng)賽,簡(jiǎn)稱 "ISEF",由美國(guó) Society for Science and the Public(科學(xué)和公共服務(wù)協(xié)會(huì))主辦,英特爾公司冠名贊助,是全球規(guī)模最大、等級(jí)最高的中學(xué)生的科研科創(chuàng)賽事。ISEF 的學(xué)術(shù)活動(dòng)學(xué)科包括了所有數(shù)學(xué)、自然科學(xué)、工程的全部領(lǐng)域和部分社會(huì)科學(xué)。ISEF 素有全球青少年科學(xué)學(xué)術(shù)活動(dòng)的“世界杯”之美譽(yù),旨在鼓勵(lì)學(xué)生團(tuán)隊(duì)協(xié)作,開拓創(chuàng)新,長(zhǎng)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(xué)術(shù)活動(dòng)詳細(xì)介紹
· 數(shù)學(xué) · 物理 · 化學(xué) · 生物 · 計(jì)算機(jī) · 工程 ·
Studies in which the use of machine intelligence is paramount to reducing the reliance on human intervention.
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.
以上就是關(guān)于【2017英特爾ISEF獲獎(jiǎng)作品摘要 機(jī)器人與智能機(jī)器(人工智能) Intel Finalist Abstract Robotics and Intelligent Machines (AI)】的解答,如需了解學(xué)校/賽事/課程動(dòng)態(tài),可至翰林教育官網(wǎng)獲取更多信息。
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