BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

183 related articles for article (PubMed ID: 35707196)

  • 21. Boundary-aware context neural network for medical image segmentation.
    Wang R; Chen S; Ji C; Fan J; Li Y
    Med Image Anal; 2022 May; 78():102395. PubMed ID: 35231851
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Hybrid dilation and attention residual U-Net for medical image segmentation.
    Wang Z; Zou Y; Liu PX
    Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI.
    Yamanakkanavar N; Lee B
    Comput Biol Med; 2021 Sep; 136():104761. PubMed ID: 34426168
    [TBL] [Abstract][Full Text] [Related]  

  • 24. MHA-Net: A Multibranch Hybrid Attention Network for Medical Image Segmentation.
    Zhang M; Sun Q; Cai F; Yang C
    Comput Math Methods Med; 2022; 2022():8375981. PubMed ID: 36245836
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Brain tumor magnetic resonance image segmentation by a multiscale contextual attention module combined with a deep residual UNet (MCA-ResUNet).
    Cao T; Wang G; Ren L; Li Y; Wang H
    Phys Med Biol; 2022 Apr; 67(9):. PubMed ID: 35294935
    [No Abstract]   [Full Text] [Related]  

  • 26. Global and Local Feature Reconstruction for Medical Image Segmentation.
    Song J; Chen X; Zhu Q; Shi F; Xiang D; Chen Z; Fan Y; Pan L; Zhu W
    IEEE Trans Med Imaging; 2022 Sep; 41(9):2273-2284. PubMed ID: 35324437
    [TBL] [Abstract][Full Text] [Related]  

  • 27. ADR-Net: Context extraction network based on M-Net for medical image segmentation.
    Ji L; Jiang X; Gao Y; Fang Z; Cai Q; Wei Z
    Med Phys; 2020 Sep; 47(9):4254-4264. PubMed ID: 32602963
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion.
    Huang X; Zhuo L; Zhang H; Yang Y; Li X; Zhang J; Wei W
    Comput Med Imaging Graph; 2022 Jun; 98():102072. PubMed ID: 35594809
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Clinical target segmentation using a novel deep neural network: double attention Res-U-Net.
    Ashkani Chenarlogh V; Shabanzadeh A; Ghelich Oghli M; Sirjani N; Farzin Moghadam S; Akhavan A; Arabi H; Shiri I; Shabanzadeh Z; Sanei Taheri M; Kazem Tarzamni M
    Sci Rep; 2022 Apr; 12(1):6717. PubMed ID: 35468984
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MAU-Net: Mixed attention U-Net for MRI brain tumor segmentation.
    Zhang Y; Han Y; Zhang J
    Math Biosci Eng; 2023 Nov; 20(12):20510-20527. PubMed ID: 38124563
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Improved U-Net based on contour prediction for efficient segmentation of rectal cancer.
    Li D; Chu X; Cui Y; Zhao J; Zhang K; Yang X
    Comput Methods Programs Biomed; 2022 Jan; 213():106493. PubMed ID: 34749245
    [TBL] [Abstract][Full Text] [Related]  

  • 32. FAT-Net: Feature adaptive transformers for automated skin lesion segmentation.
    Wu H; Chen S; Chen G; Wang W; Lei B; Wen Z
    Med Image Anal; 2022 Feb; 76():102327. PubMed ID: 34923250
    [TBL] [Abstract][Full Text] [Related]  

  • 33. R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation.
    Mubashar M; Ali H; Grönlund C; Azmat S
    Neural Comput Appl; 2022; 34(20):17723-17739. PubMed ID: 35694048
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation.
    Sugino T; Roth HR; Oda M; Kin T; Saito N; Nakajima Y; Mori K
    Med Phys; 2021 Nov; 48(11):7215-7227. PubMed ID: 34453333
    [TBL] [Abstract][Full Text] [Related]  

  • 35. DENSE-INception U-net for medical image segmentation.
    Zhang Z; Wu C; Coleman S; Kerr D
    Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI.
    Khan Z; Yahya N; Alsaih K; Ali SSA; Meriaudeau F
    Sensors (Basel); 2020 Jun; 20(11):. PubMed ID: 32503330
    [TBL] [Abstract][Full Text] [Related]  

  • 37. RDCTrans U-Net: A Hybrid Variable Architecture for Liver CT Image Segmentation.
    Li L; Ma H
    Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408067
    [TBL] [Abstract][Full Text] [Related]  

  • 38. TF-Unet:An automatic cardiac MRI image segmentation method.
    Fu Z; Zhang J; Luo R; Sun Y; Deng D; Xia L
    Math Biosci Eng; 2022 Mar; 19(5):5207-5222. PubMed ID: 35430861
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images.
    Cui H; Yuwen C; Jiang L; Xia Y; Zhang Y
    Comput Methods Programs Biomed; 2021 Jul; 206():106142. PubMed ID: 34004500
    [TBL] [Abstract][Full Text] [Related]  

  • 40. MDCC-Net: Multiscale double-channel convolution U-Net framework for colorectal tumor segmentation.
    Zheng S; Lin X; Zhang W; He B; Jia S; Wang P; Jiang H; Shi J; Jia F
    Comput Biol Med; 2021 Mar; 130():104183. PubMed ID: 33360107
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.