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Journal Abstract Search

1411 related items for PubMed ID: 29427897

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  • 24. MSFCN-multiple supervised fully convolutional networks for the osteosarcoma segmentation of CT images.
    Huang L, Xia W, Zhang B, Qiu B, Gao X.
    Comput Methods Programs Biomed; 2017 May; 143():67-74. PubMed ID: 28391820
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  • 25. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
    Wang B, Lei Y, Tian S, Wang T, Liu Y, Patel P, Jani AB, Mao H, Curran WJ, Liu T, Yang X.
    Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
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  • 28. A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set.
    Zhang Y, Wu J, Liu Y, Chen Y, Chen W, Wu EX, Li C, Tang X.
    Med Image Anal; 2021 Feb; 68():101884. PubMed ID: 33246228
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  • 29. Abdominal artery segmentation method from CT volumes using fully convolutional neural network.
    Oda M, Roth HR, Kitasaka T, Misawa K, Fujiwara M, Mori K.
    Int J Comput Assist Radiol Surg; 2019 Dec; 14(12):2069-2081. PubMed ID: 31493112
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  • 30. Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks.
    Liu X, Guo S, Yang B, Ma S, Zhang H, Li J, Sun C, Jin L, Li X, Yang Q, Fu Y.
    J Digit Imaging; 2018 Oct; 31(5):748-760. PubMed ID: 29679242
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  • 35. Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation.
    Zhao Y, Li H, Wan S, Sekuboyina A, Hu X, Tetteh G, Piraud M, Menze B.
    IEEE J Biomed Health Inform; 2019 Jul; 23(4):1363-1373. PubMed ID: 30629519
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  • 40. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
    Gao K, Niu S, Ji Z, Wu M, Chen Q, Xu R, Yuan S, Fan W, Chen Y, Dong J.
    Comput Methods Programs Biomed; 2019 Jul; 176():69-80. PubMed ID: 31200913
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