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Pubmed for Handhelds

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Journal Abstract Search

410 related items for PubMed ID: 29774599

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  • 2. Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.
    Liu F, Zhou Z, Jang H, Samsonov A, Zhao G, Kijowski R.
    Magn Reson Med; 2018 Apr; 79(4):2379-2391. PubMed ID: 28733975
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  • 3. The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs.
    Kessler DA, MacKay JW, Crowe VA, Henson FMD, Graves MJ, Gilbert FJ, Kaggie JD.
    Comput Med Imaging Graph; 2020 Dec; 86():101793. PubMed ID: 33075675
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  • 4. Development and clinical validation of a deep learning-based knee CT image segmentation method for robotic-assisted total knee arthroplasty.
    Liu X, Li S, Zou X, Chen X, Xu H, Yu Y, Gu Z, Liu D, Li R, Wu Y, Wang G, Liao H, Qian W, Zhang Y.
    Int J Med Robot; 2024 Aug; 20(4):e2664. PubMed ID: 38994900
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  • 8. Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN.
    Xu X, Zhou F, Liu B.
    Int J Comput Assist Radiol Surg; 2018 Jul; 13(7):967-975. PubMed ID: 29556905
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  • 9. Deep learning-based fully automatic segmentation of wrist cartilage in MR images.
    Brui E, Efimtcev AY, Fokin VA, Fernandez R, Levchuk AG, Ogier AC, Samsonov AA, Mattei JP, Melchakova IV, Bendahan D, Andreychenko A.
    NMR Biomed; 2020 Aug; 33(8):e4320. PubMed ID: 32394453
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  • 12. Liver tumor segmentation based on 3D convolutional neural network with dual scale.
    Meng L, Tian Y, Bu S.
    J Appl Clin Med Phys; 2020 Jan; 21(1):144-157. PubMed ID: 31793212
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  • 13. Femoral image segmentation based on two-stage convolutional network using 3D-DMFNet and 3D-ResUnet.
    Zhang X, Zheng Y, Bai X, Cai L, Wang L, Wu S, Ke Q, Huang J.
    Comput Methods Programs Biomed; 2022 Nov; 226():107110. PubMed ID: 36167001
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