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VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

, , , , , , and . Comput. Medical Imaging Graph., (2019)

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A Hessian-based filter for vascular segmentation of noisy hepatic CT scans., , , and . Int. J. Comput. Assist. Radiol. Surg., 7 (2): 199-205 (2012)Segmentation of brain tissues using a 3-D multi-layer Hidden Markov Model., , and . Comput. Biol. Medicine, 43 (2): 121-130 (2013)Integration of a knowledge-based constraint into generative models with applications in semi-automatic segmentation of liver tumors., , and . Biomed. Signal Process. Control., (2020)Content-based medical image retrieval of CT images of liver lesions using manifold learning., and . Int. J. Multim. Inf. Retr., 8 (4): 233-240 (2019)Improved segmentation of low-contrast lesions using sigmoid edge model., and . Int. J. Comput. Assist. Radiol. Surg., 11 (7): 1267-1283 (2016)Capturing large shape variations of liver using population-based statistical shape models., , , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (6): 967-977 (2014)Improved PPG-based estimation of the blood pressure using latent space features., and . Signal Image Video Process., 13 (6): 1141-1147 (2019)Incorporating a locally estimated appearance model in the graphcuts algorithm to extract small hepatic vessels., , , and . ICIP, page 2324-2328. IEEE, (2017)A framework for probabilistic atlas-based organ segmentation., , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97842X. SPIE, (2016)Liver Segmentation from Low Contrast Open MR Scans Using K-Means Clustering and Graph-Cuts., , and . ISNN (2), volume 6064 of Lecture Notes in Computer Science, page 162-169. Springer, (2010)