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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

265 related items for PubMed ID: 33434128

  • 21.
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  • 22. Teeth U-Net: A segmentation model of dental panoramic X-ray images for context semantics and contrast enhancement.
    Hou S, Zhou T, Liu Y, Dang P, Lu H, Shi H.
    Comput Biol Med; 2023 Jan; 152():106296. PubMed ID: 36462370
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  • 25. Multi-Scale Self-Guided Attention for Medical Image Segmentation.
    Sinha A, Dolz J.
    IEEE J Biomed Health Inform; 2021 Jan; 25(1):121-130. PubMed ID: 32305947
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  • 27. Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation.
    Lee HH, Tang Y, Yang Q, Yu X, Cai LY, Remedios LW, Bao S, Landman BA, Huo Y.
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4444-4453. PubMed ID: 37310834
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  • 28. Holistic decomposition convolution for effective semantic segmentation of medical volume images.
    Zeng G, Zheng G.
    Med Image Anal; 2019 Oct; 57():149-164. PubMed ID: 31302511
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  • 31. Agrast-6: Abridged VGG-Based Reflected Lightweight Architecture for Binary Segmentation of Depth Images Captured by Kinect.
    Ryselis K, Blažauskas T, Damaševičius R, Maskeliūnas R.
    Sensors (Basel); 2022 Aug 24; 22(17):. PubMed ID: 36080813
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  • 32. The effects of different levels of realism on the training of CNNs with only synthetic images for the semantic segmentation of robotic instruments in a head phantom.
    Heredia Perez SA, Marques Marinho M, Harada K, Mitsuishi M.
    Int J Comput Assist Radiol Surg; 2020 Aug 24; 15(8):1257-1265. PubMed ID: 32445129
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  • 33. Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI Segmentation.
    Dayananda C, Choi JY, Lee B.
    Sensors (Basel); 2021 May 12; 21(10):. PubMed ID: 34066042
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  • 35. DENSE-INception U-net for medical image segmentation.
    Zhang Z, Wu C, Coleman S, Kerr D.
    Comput Methods Programs Biomed; 2020 Aug 12; 192():105395. PubMed ID: 32163817
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  • 36. Semantic segmentation of mFISH images using convolutional networks.
    Pardo E, Morgado JMT, Malpica N.
    Cytometry A; 2018 Jun 12; 93(6):620-627. PubMed ID: 29710381
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  • 38. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
    Burton W, Myers C, Rullkoetter P.
    Comput Methods Programs Biomed; 2020 Jun 12; 189():105328. PubMed ID: 31958580
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