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Woo Kyung Moon: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ruey-Feng Chang, Chii-Jen Chen, Ming-Feng Ho, Dar-Ren Chen, Woo Kyung Moon
    Breast Ultrasound Image Classification Using Fractal Analysis. [Citation Graph (0, 0)][DBLP]
    BIBE, 2004, pp:100-107 [Conf]
  2. Ruey-Feng Chang, Wen-Jie Wu, Chih-Chi Tseng, Dar-Ren Chen, Woo Kyung Moon
    3-D snake for US in margin evaluation for malignant breast tumor excision using mammotome. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Technology in Biomedicine, 2003, v:7, n:3, pp:197-201 [Journal]
  3. Sheng-Fang Huang, Ruey-Feng Chang, Dar-Ren Chen, Woo Kyung Moon
    Characterization of spiculation on ultrasound lesions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2004, v:23, n:1, pp:111-121 [Journal]
  4. Segyeong Joo, Yoon Seok Yang, Woo Kyung Moon, Hee Chan Kim
    Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2004, v:23, n:10, pp:1292-1300 [Journal]

  5. Neural network analysis applied to tumor segmentation on 3D breast ultrasound images. [Citation Graph (, )][DBLP]


  6. Texture analysis of lesion perfusion volumes in dynamic contrast-enhanced breast MRI. [Citation Graph (, )][DBLP]


  7. Characterizing Time-Intensity Curves for Spectral Morphometric Analysis of Intratumoral Enhancement Patterns in Breast DCE-MRI: Comparison Between Differentiation Performance of Temporal Model Parameters Based on DFT and SVD. [Citation Graph (, )][DBLP]


  8. Computerized Segmentation and Classification of Breast Lesions Using Perfusion Volume Fractions in Dynamic Contrast-enhanced MRI. [Citation Graph (, )][DBLP]


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