臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)

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Showing items 156-165 of 196 (20 Page(s) Totally)
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Institution	Date	Title	Author
臺大學術典藏	2018-09-10T04:11:02Z	Three-Dimensional Breast Ultrasound Imaging in Patients with Nipple Discharge: A Pictorial Review of 27 Patients	Ruey-Feng Chang; RUEY-FENG CHANG; Dar-Ren Chen; Jau-Hong Lee; Hwei-Chung Wang; Mei-Due Yang
臺大學術典藏	2018-09-10T04:11:02Z	Image sequence coding using adaptive finite-state vector quantization	Wen-Tsuen Chen; Ruey-Feng Chang; Jia-Shung Wang; RUEY-FENG CHANG
臺大學術典藏	2018-09-10T04:11:02Z	A fast finite-state algorithm for vector quantizer design	Ruey-Feng Chang; Wen-Tsuen Chen; Jia-Shung Wang; RUEY-FENG CHANG
臺大學術典藏	2018-09-10T04:11:01Z	Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks	Dar-Ren Chen; Ruey-Feng Chang; Wen-Jia Kuo; Ming-Chun Chen; Yu-Len Huang; RUEY-FENG CHANG
臺大學術典藏	2018-09-10T04:11:01Z	A New Side-Match Finite-State Vector Quantization Using Neural Networks for Image Coding	Yu-Len Huang; Ruey-Feng Chang; RUEY-FENG CHANG
臺大學術典藏	2018-09-10T04:11:01Z	Use of the bootstrap technique with small training sets for computer-aided diagnosis in breast ultrasound	RUEY-FENG CHANG; Dar-Ren Chen; Wen-Jia Kuo; Ruey-Feng Chang; Woo Kyung Moon; Cheng Chun Lee
臺大學術典藏	2018-09-10T04:11:01Z	Retrieval technique for the diagnosis of solid breast tumors on sonogram	Wen-Jia Kuo; Ruey-Feng Chang; Cheng Chun Lee; Woo Kyung Moon; Dar-Ren Chen; RUEY-FENG CHANG
臺大學術典藏	2018-09-10T04:11:01Z	Computer-Aided Diagnosis of Breast Tumors with Different US Systems	Ruey-Feng Chang; Woo Kyung Moon; Cheng Chun Lee; Dar-Ren Chen; RUEY-FENG CHANG; Wen-Jia Kuo
臺大學術典藏	2018-09-10T03:46:16Z	Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images	Wen-Jia Kuo; Ruey-Feng Chang; Dar-Ren Chen; Cheng Chun Lee; RUEY-FENG CHANG
臺大學術典藏	2018-09-10T03:46:16Z	Fast finite-state codebook design algorithm for vector quantization	Ruey-Feng Chang; Wen-Tsuen Chen; RUEY-FENG CHANG

Showing items 156-165 of 196 (20 Page(s) Totally)
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