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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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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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.
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KANG, LI-WEI |
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KANG, LI-WEI TUNG, I-CHEN 董屹晨 |
author |
TUNG, I-CHEN 董屹晨 |
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TUNG, I-CHEN 董屹晨 Medicine Classification based on Deep Learning and Hyperspectral Imaging |
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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 |
work_keys_str_mv |
AT tungichen medicineclassificationbasedondeeplearningandhyperspectralimaging AT dǒngyìchén medicineclassificationbasedondeeplearningandhyperspectralimaging AT tungichen jīyúshēndùxuéxíjígāoguāngpǔyǐngxiàngzhīyàowùfēnlèijìshù AT dǒngyìchén jīyúshēndùxuéxíjígāoguāngpǔyǐngxiàngzhīyàowùfēnlèijìshù |
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1719170328799739904 |