Open Access
Issue |
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
|
|
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Article Number | 02024 | |
Number of page(s) | 8 | |
Section | Data and Signal Processing | |
DOI | https://doi.org/10.1051/matecconf/201927702024 | |
Published online | 02 April 2019 |
- Fleg L, Stone W and Fayad A 2012 Detection of high-risk atherosclerotic plaque:report of the NHLBI Working Group on current status and future directions. JACC Cardiovasc Imaging 5(9) 941-955. [CrossRef] [Google Scholar]
- Ambrose A and Srikanth S 2010 Vulnerable plaques and patients:improving prediction of future coronary events. Am J Med 123(1) 10-16. [CrossRef] [Google Scholar]
- Takashi K, Takashi A and Junya S 2013 OCT compared with IVUS in a coronary lesion assessment: The OPUSCLASS Study. JACC Cardiovascular Imaging 6(10)1095-1104. [CrossRef] [Google Scholar]
- Wang S, Luo J and Ling H 2013 Computer-aided diagnosis data platform by using medical imaging. Chin. J. Biomed. Eng 32(1) 105. [Google Scholar]
- Valgimigli M, Agostoni P and Serruvs PW 2007 Acute coronary syndromes: an emphasis shift from treatment to prevention; and the enduring challenge of vulnerable plaque detection in the cardiac catheterization laboratory. Cardiovasic Med (Hagerstown) 8(4) 221-229. [CrossRef] [Google Scholar]
- Chen X 2014 Research on the Application of Sparse Representation Theory in Medical Image Processing and Analysis (Wuhan: Huazhong University of Science and Technology Press) p 4-10. [Google Scholar]
- Keras Documentation/Image Preprocessing. https://keras.io/preprocessing/image/. last accessed 2018/08/14. [Google Scholar]
- Ronneberger O, Fischer P and Brox T 2015 Int. Conf. on Medical image Computing and Computer-Assisted Intervention (Munich) pp.234-241. [Google Scholar]
- Li X, Chen H, Qi X, Dou Q, Fu C and Heng P 2018 H-DenseUNet: hybrid densely connected UNet for liver and tumor segmentation from CT volumes. IEEE Trans Med Imaging PP(99): 1-1. [CrossRef] [Google Scholar]
- Dong H, Yang G, Liu F, Mo Y and Guo Y 2017 Automatic brain tumor detection and segmentation using U-Net based fully convolutional networks. Conf. on Medical Image Understanding and Analysis. [Google Scholar]
- Girshick R 2015 Fast R-CNN. IEEE Int. Conf. on Computer Vision. [Google Scholar]
- Ren S, He K, Girshick R and Sun J 2015 Faster R-CNN: towards real-time object detection with region proposal networks. Conf. on Neural Information Processing Systems (Montreal) p 91-99. [Google Scholar]
- He K, Zhang X, Ren S and Sun J 2015 Deep residual learning for image recognition. arXiv:1512.03385. [Google Scholar]
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