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Shao-Jer Chen

Showing results (1-10 of 12) with videos related to

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Sensors (Basel, Switzerland)|January 17, 2020
SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing SystemsChuan-Yu Chang, Kathiravan Srinivasan, Mao-Cheng Chen, et al.
International Journal of Clinical and Experimental Pathology|April 4, 2014
Tumor rupture as an initial manifestation of malignant mesonephric mixed tumor: a case report and review of the literatureChih-En Tseng, Chien-Han Chen, Shao-Jer Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
The image feature analysis for microscopic thyroid tissue classificationYen-Ting Chen, Chun-Ju Hou, Min-Wei Lee, et al.
Clinical Imaging|March 4, 2008
Quantitative correlation between sonographic textural feature and histopathological components for breast cancer: preliminary resultsShao-Jer Chen, Kuo-Sheng Cheng, Yen-Ting Chen, et al.
Journal of Biomedicine & Biotechnology|May 5, 2011
Diagnostic value of I-131 NP-59 SPECT/CT scintigraphy in patients with subclinical or atypical features of primary aldosteronismYi-Chun Chen, Yu-Chieh Su, Chang-Kuo Wei, et al.
Ultrasound in Medicine & Biology|November 18, 2008
Characterization of the major histopathological components of thyroid nodules using sonographic textural features for clinical diagnosis and managementShao-Jer Chen, Sung-Nien Yu, Jeh-En Tzeng, et al.
Ultrasound in Medicine & Biology|November 25, 2010
Classification of the thyroid nodules based on characteristic sonographic textural feature and correlated histopathology using hierarchical support vector machinesShao-Jer Chen, Chuan-Yu Chang, Ku-Yaw Chang, et al.
The British Journal of Radiology|December 8, 2016
Application of gray level mapping in computed tomographic colonography: a pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesionsLih-Shyang Chen, Ta-Wen Hsu, Shao-Jer Chen, et al.
Journal of Medical and Biological Engineering|October 5, 2020
Improving Image Correlation and Differentiation of 3D Endoluminal Lesions in the Air Spaces Using a Novel Target Gray Level Mapping Technique: A Preliminary Study of Its Application to Computed Tomographic Colonography and Comparison with Traditional Surface Rendering MethodLih-Shyang Chen, Ta-Wen Hsu, Shao-Jer Chen, et al.
Clinical Imaging|June 26, 2012
Characterizing the major sonographic textural difference between metastatic and common benign lymph nodes using support vector machine with histopathologic correlationShao-Jer Chen, Chun-Hung Lin, Chuan-Yu Chang, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|January 17, 2020
SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing SystemsChuan-Yu Chang, Kathiravan Srinivasan, Mao-Cheng Chen, et al.
International Journal of Clinical and Experimental Pathology|April 4, 2014
Tumor rupture as an initial manifestation of malignant mesonephric mixed tumor: a case report and review of the literatureChih-En Tseng, Chien-Han Chen, Shao-Jer Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
The image feature analysis for microscopic thyroid tissue classificationYen-Ting Chen, Chun-Ju Hou, Min-Wei Lee, et al.
Clinical Imaging|March 4, 2008
Quantitative correlation between sonographic textural feature and histopathological components for breast cancer: preliminary resultsShao-Jer Chen, Kuo-Sheng Cheng, Yen-Ting Chen, et al.
Journal of Biomedicine & Biotechnology|May 5, 2011
Diagnostic value of I-131 NP-59 SPECT/CT scintigraphy in patients with subclinical or atypical features of primary aldosteronismYi-Chun Chen, Yu-Chieh Su, Chang-Kuo Wei, et al.
Ultrasound in Medicine & Biology|November 18, 2008
Characterization of the major histopathological components of thyroid nodules using sonographic textural features for clinical diagnosis and managementShao-Jer Chen, Sung-Nien Yu, Jeh-En Tzeng, et al.
Ultrasound in Medicine & Biology|November 25, 2010
Classification of the thyroid nodules based on characteristic sonographic textural feature and correlated histopathology using hierarchical support vector machinesShao-Jer Chen, Chuan-Yu Chang, Ku-Yaw Chang, et al.
The British Journal of Radiology|December 8, 2016
Application of gray level mapping in computed tomographic colonography: a pilot study to compare with traditional surface rendering method for identification and differentiation of endoluminal lesionsLih-Shyang Chen, Ta-Wen Hsu, Shao-Jer Chen, et al.
Journal of Medical and Biological Engineering|October 5, 2020
Improving Image Correlation and Differentiation of 3D Endoluminal Lesions in the Air Spaces Using a Novel Target Gray Level Mapping Technique: A Preliminary Study of Its Application to Computed Tomographic Colonography and Comparison with Traditional Surface Rendering MethodLih-Shyang Chen, Ta-Wen Hsu, Shao-Jer Chen, et al.
Clinical Imaging|June 26, 2012
Characterizing the major sonographic textural difference between metastatic and common benign lymph nodes using support vector machine with histopathologic correlationShao-Jer Chen, Chun-Hung Lin, Chuan-Yu Chang, et al.
Pageof 2