| Technical Name | A microscopic technique of tubeculosis identification by using convolutional neural network | ||
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| Project Operator | National Cheng Kung University | ||
| Project Host | 孫永年 | ||
| Summary | This method applies convolution neural network approach to Mycobacterium tuberculosis identification in microscopic images. Through training a number of labeled digital color acid-fast staining microscopic images, the method combined with an iterative refinement step is proposed for the automatic identification of Mycobacterium tuberculosis. |
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| Scientific Breakthrough | - |
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| Industrial Applicability | - |
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| Keyword | __ | ||
| Notes | |||
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