Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography

doi:10.3748/wjg.v26.i25.3660

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World Journal of Gastroenterology

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1007-9327

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastroenterol. Jul 7, 2020; 26(25): 3660-3672
Published online Jul 7, 2020. doi: 10.3748/wjg.v26.i25.3660

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Figure 1 Four-phase images processing pipeline for multiphase convolutional dense network. AP: Arterial phase; DP: Delayed phase; HU: Hounsfield unit; MD-CDN: Multiphase convolutional dense network; PP: Precontrast phase; PVP: Portal venous phase; ROI: Region of interest.

Citation: Cao SE, Zhang LQ, Kuang SC, Shi WQ, Hu B, Xie SD, Chen YN, Liu H, Chen SM, Jiang T, Ye M, Zhang HX, Wang J. Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography. World J Gastroenterol 2020; 26(25): 3660-3672
URL: https://www.wjgnet.com/1007-9327/full/v26/i25/3660.htm
DOI: https://dx.doi.org/10.3748/wjg.v26.i25.3660