Medicine Classification based on Deep Learning and Hyperspectral Imaging

碩士 === 國立雲林科技大學 === 資訊工程系 === 106 === Hyperspectral imaging (HSI) is a relatively new modality in medicine and can have many potential applications. And due to more power machines, deep learning is popular for many researches. In this paper, we use hyperspectral scope to capture the features of the...

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Main Authors: TUNG, I-CHEN, 董屹晨
Other Authors: KANG, LI-WEI
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/2j929q
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spelling ndltd-TW-106YUNT03920162019-05-16T00:44:36Z http://ndltd.ncl.edu.tw/handle/2j929q Medicine Classification based on Deep Learning and Hyperspectral Imaging 基於深度學習及高光譜影像之藥物分類技術 TUNG, I-CHEN 董屹晨 碩士 國立雲林科技大學 資訊工程系 106 Hyperspectral imaging (HSI) is a relatively new modality in medicine and can have many potential applications. And due to more power machines, deep learning is popular for many researches. In this paper, we use hyperspectral scope to capture the features of the medicine. We propose a medicine classifier built with Keras, which is one of most convenient and popular convolutional deep learning models. And we train the model of the classifier with these hyperspectral features. The experiment uses three different kinds of medicine which is Through this classifier, we can recognize the medicine 100% correctly. KANG, LI-WEI 康立威 2018 學位論文 ; thesis 28 zh-TW
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description 碩士 === 國立雲林科技大學 === 資訊工程系 === 106 === Hyperspectral imaging (HSI) is a relatively new modality in medicine and can have many potential applications. And due to more power machines, deep learning is popular for many researches. In this paper, we use hyperspectral scope to capture the features of the medicine. We propose a medicine classifier built with Keras, which is one of most convenient and popular convolutional deep learning models. And we train the model of the classifier with these hyperspectral features. The experiment uses three different kinds of medicine which is Through this classifier, we can recognize the medicine 100% correctly.
author2 KANG, LI-WEI
author_facet KANG, LI-WEI
TUNG, I-CHEN
董屹晨
author TUNG, I-CHEN
董屹晨
spellingShingle TUNG, I-CHEN
董屹晨
Medicine Classification based on Deep Learning and Hyperspectral Imaging
author_sort TUNG, I-CHEN
title Medicine Classification based on Deep Learning and Hyperspectral Imaging
title_short Medicine Classification based on Deep Learning and Hyperspectral Imaging
title_full Medicine Classification based on Deep Learning and Hyperspectral Imaging
title_fullStr Medicine Classification based on Deep Learning and Hyperspectral Imaging
title_full_unstemmed Medicine Classification based on Deep Learning and Hyperspectral Imaging
title_sort medicine classification based on deep learning and hyperspectral imaging
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/2j929q
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