These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

351 related articles for article (PubMed ID: 26685226)

  • 21. A combinatorial Bayesian and Dirichlet model for prostate MR image segmentation using probabilistic image features.
    Li A; Li C; Wang X; Eberl S; Feng D; Fulham M
    Phys Med Biol; 2016 Aug; 61(16):6085-104. PubMed ID: 27461085
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prostate segmentation in MR images using discriminant boundary features.
    Yang M; Li X; Turkbey B; Choyke PL; Yan P
    IEEE Trans Biomed Eng; 2013 Feb; 60(2):479-88. PubMed ID: 23192474
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Rotationally resliced 3D prostate segmentation of MR images using Bhattacharyya similarity and active band theory.
    Tang Z; Wang M; Song Z
    Phys Med; 2018 Oct; 54():56-65. PubMed ID: 30337011
    [TBL] [Abstract][Full Text] [Related]  

  • 24. MRI-based prostate cancer detection with high-level representation and hierarchical classification.
    Zhu Y; Wang L; Liu M; Qian C; Yousuf A; Oto A; Shen D
    Med Phys; 2017 Mar; 44(3):1028-1039. PubMed ID: 28107548
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
    Wu G; Kim M; Sanroma G; Wang Q; Munsell BC; Shen D;
    Neuroimage; 2015 Feb; 106():34-46. PubMed ID: 25463474
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI.
    Ozer S; Langer DL; Liu X; Haider MA; van der Kwast TH; Evans AJ; Yang Y; Wernick MN; Yetik IS
    Med Phys; 2010 Apr; 37(4):1873-83. PubMed ID: 20443509
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A feature-based learning framework for accurate prostate localization in CT images.
    Liao S; Shen D
    IEEE Trans Image Process; 2012 Aug; 21(8):3546-59. PubMed ID: 22510948
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Encoder-decoder with dense dilated spatial pyramid pooling for prostate MR images segmentation.
    Geng L; Wang J; Xiao Z; Tong J; Zhang F; Wu J
    Comput Assist Surg (Abingdon); 2019 Oct; 24(sup2):13-19. PubMed ID: 31424279
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deformable segmentation via sparse representation and dictionary learning.
    Zhang S; Zhan Y; Metaxas DN
    Med Image Anal; 2012 Oct; 16(7):1385-96. PubMed ID: 22959839
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Automatic polyp frame screening using patch based combined feature and dictionary learning.
    Shin Y; Balasingham I
    Comput Med Imaging Graph; 2018 Nov; 69():33-42. PubMed ID: 30172091
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Inter-slice bidirectional registration-based segmentation of the prostate gland in MR and CT image sequences.
    Khalvati F; Salmanpour A; Rahnamayan S; Rodrigues G; Tizhoosh HR
    Med Phys; 2013 Dec; 40(12):123503. PubMed ID: 24320543
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
    Xu J; Xiang L; Liu Q; Gilmore H; Wu J; Tang J; Madabhushi A
    IEEE Trans Med Imaging; 2016 Jan; 35(1):119-30. PubMed ID: 26208307
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.
    Brosch T; Tang LY; Youngjin Yoo ; Li DK; Traboulsee A; Tam R
    IEEE Trans Med Imaging; 2016 May; 35(5):1229-1239. PubMed ID: 26886978
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Bidirectional feature matching based on deep pairwise contrastive learning for multiparametric MRI image synthesis.
    Touati R; Kadoury S
    Phys Med Biol; 2023 Jun; 68(12):. PubMed ID: 37257456
    [No Abstract]   [Full Text] [Related]  

  • 36. A supervoxel-based segmentation method for prostate MR images.
    Tian Z; Liu L; Zhang Z; Xue J; Fei B
    Med Phys; 2017 Feb; 44(2):558-569. PubMed ID: 27991675
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Spatially varying accuracy and reproducibility of prostate segmentation in magnetic resonance images using manual and semiautomated methods.
    Shahedi M; Cool DW; Romagnoli C; Bauman GS; Bastian-Jordan M; Gibson E; Rodrigues G; Ahmad B; Lock M; Fenster A; Ward AD
    Med Phys; 2014 Nov; 41(11):113503. PubMed ID: 25370674
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks.
    Cheng R; Roth HR; Lay N; Lu L; Turkbey B; Gandler W; McCreedy ES; Pohida T; Pinto PA; Choyke P; McAuliffe MJ; Summers RM
    J Med Imaging (Bellingham); 2017 Oct; 4(4):041302. PubMed ID: 28840173
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images.
    Ghose S; Oliver A; Martí R; Lladó X; Vilanova JC; Freixenet J; Mitra J; Sidibé D; Meriaudeau F
    Comput Methods Programs Biomed; 2012 Oct; 108(1):262-87. PubMed ID: 22739209
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method.
    Zhan Y; Shen D
    IEEE Trans Med Imaging; 2006 Mar; 25(3):256-72. PubMed ID: 16524083
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 18.