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Showing items 488281-488290 of 2348973 (234898 Page(s) Totally)
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| 國立臺灣大學 |
2014 |
Image changes of paraspinal muscles and clinical correlations in patients with unilateral lumbar spinal stenosis
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Chen, Yan-Yu; Pao, Jwo-Luen; Liaw, Chen-Kun; Hsu, Wei-Li; Yang, Rong-Sen; 徐瑋勵; 楊榮森 |
| 臺大學術典藏 |
2018-09-10T15:02:41Z |
Image changes of paraspinal muscles and clinical correlations in patients with unilateral lumbar spinal stenosis
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Chen, Yan-Yu;Pao, Jwo-Luen;Liaw, Chen-Kun;Hsu, Wei-Li;Yang, Rong-Sen; Chen, Yan-Yu;Pao, Jwo-Luen;Liaw, Chen-Kun;Hsu, Wei-Li;Yang, Rong-Sen; 徐瑋勵;楊榮森; Chen, Yan-Yu; WEI-LI HSU; RONG-SEN YANG; Pao, Jwo-Luen; Liaw, Chen-Kun; Hsu, Wei-Li; Yang, Rong-Sen |
| 臺大學術典藏 |
2020-06-30T02:49:16Z |
Image changes of paraspinal muscles and clinical correlations in patients with unilateral lumbar spinal stenosis
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Chen Y.-Y.;Pao J.-L.;Liaw C.-K.;Wei-Li Hsu;Yang R.-S.; Chen Y.-Y.; Pao J.-L.; Liaw C.-K.; WEI-LI HSU; Yang R.-S. |
| 國立成功大學 |
2011-07 |
Image Characteristics as Predictors for Thoracoscopic Anatomic Lung Resection in Patients With Pulmonary Tuberculosis
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Yen, Yi-Ting; Wu, Ming-Ho; Cheng, Lili; Liu, Yi-Sheng; Lin, Sheng-Hsiang; Wang, Jung-Der; Tseng, Yau-Lin |
| 國立交通大學 |
2014-12-08T15:07:00Z |
Image classification and indexing by EM based multiple-instance learning
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Pao, H. T.; Xu, Y. Y.; Chuang, S. C.; Fu, H. C. |
| 淡江大學 |
2022-10-06T03:31:09Z |
Image Classification and Transformation via Deep Neural Network
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胡氏妝; Ho, Trang-Thi |
| 國立交通大學 |
2018-08-21T05:53:29Z |
Image Classification Based on the Boost Convolutional Neural Network
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Lee, Shin-Jye; Chen, Tonglin; Yu, Lun; Lai, Chin-Hui |
| 元智大學 |
2003-09 |
Image classification by integrating color, texture and region
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程雅娟; 陳淑媛 |
| 亞洲大學 |
2017-09 |
Image Classification Using Naive Bayes Classifier With Pairwise Local Observations
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徐士中;SHIH-CHUNG HSU;陳羿捷;I-CHIEH CHEN;黃仲陵;Chung-Lin Huang |
| 元智大學 |
Feb-20 |
Image Classification Using Synchronized Rotation Local Ternary Pattern
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Huang-Chia Shih; Hsu-Yung Cheng; Jr-Chian Fu |
Showing items 488281-488290 of 2348973 (234898 Page(s) Totally)
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