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Showing items 748701-748710 of 2348973 (234898 Page(s) Totally) << < 74866 74867 74868 74869 74870 74871 74872 74873 74874 74875 > >> View [10|25|50] records per page
| 國立政治大學 |
2015 |
Segmentation Based Feature Selection on Classifying Proteomic Spectral Data
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郭訓志; Kuo, Hsun-Chih;Yeh, Sheng-Tzung |
| 臺大學術典藏 |
2021-09-02T00:04:54Z |
Segmentation based OCT Image to H&E-like image conversion
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Tsai S.-T;Chan C.-C;Chen H.H;Tjiu J.-W;Huang S.-L.; Tsai S.-T; Chan C.-C; Chen H.H; Tjiu J.-W; Huang S.-L.; HOMER H. CHEN |
| 朝陽科技大學 |
2023-04 |
Segmentation based on environmentally responsible behavior: Evidence from SCUBA divers in Taiwan, the Philippines, and Indonesia
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Lee, Tsung Hung; Lin, Yi Hsien; Fu, Chung-Jen; Chang, Chung-Feng; 傅鍾仁 |
| 臺大學術典藏 |
2018-09-10T14:56:01Z |
Segmentation based stereo matching using color grouping
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Wang, H.-W.;Chang, M.-W.;Lin, H.-S.;Ouhyoung, M.; Wang, H.-W.; Chang, M.-W.; Lin, H.-S.; Ouhyoung, M.; MING OUHYOUNG |
| 國立中山大學 |
2006-08 |
Segmentation in vector quantized images through codeword index arrangement
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Chia-Hung Yeh;H.T. Chang;C.J. Kuo |
| 國立交通大學 |
2014-12-08T15:24:28Z |
Segmentation of 3D microPET images of the rat brain via the hybrid gaussian mixture method with kernel density estimation
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Chen, Tai-Been; Chen, Jyh-Cheng; Lu, Henry Horng-Shing |
| 義守大學 |
2012-09 |
Segmentation of 3D microPET images of the rat brain via the hybrid gaussian mixture method with kernel density estimation
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Tai-Been Chen;Jyh-Cheng Chen;Henry Horng-Shing Lu |
| 大葉大學 |
2010-02-09 |
Segmentation of Articular Knee Cartilage Based on Radial Transform
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吳政容, 張顧耀 |
| 大葉大學 |
2009-06-05 |
Segmentation of Articular Knee Cartilage Based on Radial Transform
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Chang, Ku-Yaw;Jiang, Pei-Jun;Wu, Cheng-Jung;Chen, Shao-Jer |
| 臺大學術典藏 |
2020-01-17T07:44:33Z |
Segmentation of brain MR images using a charged fluid model
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HERNG-HUA CHANG; Toga, A.W.; Chang, H.-H.; Valentino, D.J.; Duckwiler, G.R. |
Showing items 748701-748710 of 2348973 (234898 Page(s) Totally) << < 74866 74867 74868 74869 74870 74871 74872 74873 74874 74875 > >> View [10|25|50] records per page
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