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Showing items 891611-891620 of 2348973 (234898 Page(s) Totally) << < 89157 89158 89159 89160 89161 89162 89163 89164 89165 89166 > >> View [10|25|50] records per page
| 臺大學術典藏 |
2018-09-10T08:28:47Z |
Tumor satellite in predicting occult nodal metastasis of tongue cancer
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Yang, T.-L. and Lou, P.-J. and Chang, Y.-L. and Wu, C.-T. and Wang, C.-P. and Ko, J.-Y.; CHEN-TU WU; YIH-LEONG CHANG; TSUNG-LIN YANG; CHENG-PING WANG; PEI-JEN LOU |
| 臺大學術典藏 |
2020-03-06T05:26:23Z |
Tumor satellite in predicting occult nodal metastasis of tongue cancer
|
Yang T.-L.; Lou P.-J.; YIH-LEONG CHANG; Wu C.-T.; Wang C.-P.; Ko J.-Y. |
| 臺大學術典藏 |
2020-10-27T12:04:33Z |
Tumor satellite in predicting occult nodal metastasis of tongue cancer
|
Ko J.-Y.; Wang C.-P; Wu C.-T; PEI-JEN LOU; Chang Y.-L; Yang T.-L; Yang T.-L;Pei-Jen Lou;Chang Y.-L;Wu C.-T;Wang C.-P;Ko J.-Y. |
| 臺大學術典藏 |
2021-11-18T04:58:07Z |
Tumor satellite in predicting occult nodal metastasis of tongue cancer
|
Yang T.-L; Lou P.-J; Chang Y.-L; Wu C.-T; Wang C.-P; JENG-YUH KO |
| 臺大學術典藏 |
2021-11-15T07:48:29Z |
Tumor satellite in predicting occult nodal metastasis of tongue cancer
|
Yang T.-L; Lou P.-J; Chang Y.-L; Wu C.-T; Wang C.-P; JENG-YUH KO |
| 臺大學術典藏 |
2022-03-04T05:33:41Z |
Tumor satellite in predicting occult nodal metastasis of tongue cancer
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Yang T.-L.; Lou P.-J.; Chang Y.-L.; CHEN-TU WU; Wang C.-P.; Ko J.-Y. |
| 中國醫藥大學 |
1999 |
Tumor seeding of the jejunostomy site after transhiatal esophagectomy for esophageal carcinoma
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Hsu, NY; Lin, TY; Hsu, CT; Tsai, PP |
| 淡江大學 |
2017-12 |
Tumor Segmentation and Related Analysis on Breast Ultrasound Image
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Chen*, Chii-Jen;Wong, Jheng-Yu |
| 國立勤益科技大學 |
2013-06 |
Tumor segmentation from breast magnetic resonance images using independent component texture analysis
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林基源 |
| 國立勤益科技大學 |
2013-06 |
Tumor segmentation from breast magnetic resonance images using independent component texture analysis
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楊勝智 |
Showing items 891611-891620 of 2348973 (234898 Page(s) Totally) << < 89157 89158 89159 89160 89161 89162 89163 89164 89165 89166 > >> View [10|25|50] records per page
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