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 *

187 related articles for article (PubMed ID: 35626219)

  • 21. Rim-to-Disc Ratio Outperforms Cup-to-Disc Ratio for Glaucoma Prescreening.
    Kumar JRH; Seelamantula CS; Kamath YS; Jampala R
    Sci Rep; 2019 May; 9(1):7099. PubMed ID: 31068608
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup.
    Yuan X; Zhou L; Yu S; Li M; Wang X; Zheng X
    Artif Intell Med; 2021 Mar; 113():102035. PubMed ID: 33685591
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Determination of the neuroretinal rim area using the horizontal and vertical disc and cup diameters.
    Jonas JB; Montgomery DM
    Graefes Arch Clin Exp Ophthalmol; 1995 Nov; 233(11):690-3. PubMed ID: 8566824
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Relationship of optic disc topography to optic nerve fiber number in glaucoma.
    Yücel YH; Gupta N; Kalichman MW; Mizisin AP; Hare W; de Souza Lima M; Zangwill L; Weinreb RN
    Arch Ophthalmol; 1998 Apr; 116(4):493-7. PubMed ID: 9565048
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Optic disc segmentation by balloon snake with texture from color fundus image.
    Sun J; Luan F; Wu H
    Int J Biomed Imaging; 2015; 2015():528626. PubMed ID: 25861249
    [TBL] [Abstract][Full Text] [Related]  

  • 26. ECSD-Net: A joint optic disc and cup segmentation and glaucoma classification network based on unsupervised domain adaptation.
    Liu B; Pan D; Shuai Z; Song H
    Comput Methods Programs Biomed; 2022 Jan; 213():106530. PubMed ID: 34813984
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Superpixel classification based optic disc and optic cup segmentation for glaucoma screening.
    Cheng J; Liu J; Xu Y; Yin F; Wong DW; Tan NM; Tao D; Cheng CY; Aung T; Wong TY
    IEEE Trans Med Imaging; 2013 Jun; 32(6):1019-32. PubMed ID: 23434609
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile.
    MacCormick IJC; Williams BM; Zheng Y; Li K; Al-Bander B; Czanner S; Cheeseman R; Willoughby CE; Brown EN; Spaeth GL; Czanner G
    PLoS One; 2019; 14(1):e0209409. PubMed ID: 30629635
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Graph deep network for optic disc and optic cup segmentation for glaucoma disease using retinal imaging.
    Joshi A; Sharma KK
    Phys Eng Sci Med; 2022 Sep; 45(3):847-858. PubMed ID: 35737221
    [TBL] [Abstract][Full Text] [Related]  

  • 30. NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation.
    Pachade S; Porwal P; Kokare M; Giancardo L; Mériaudeau F
    Med Image Anal; 2021 Dec; 74():102253. PubMed ID: 34614474
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Research on segmentation model of optic disc and optic cup in fundus.
    Chen N; Lv X
    BMC Ophthalmol; 2024 Jun; 24(1):273. PubMed ID: 38943095
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint.
    Zhao A; Su H; She C; Huang X; Li H; Qiu H; Jiang Z; Huang G
    Comput Biol Med; 2023 May; 158():106796. PubMed ID: 36989744
    [TBL] [Abstract][Full Text] [Related]  

  • 33. An adaptive threshold based image processing technique for improved glaucoma detection and classification.
    Issac A; Partha Sarathi M; Dutta MK
    Comput Methods Programs Biomed; 2015 Nov; 122(2):229-44. PubMed ID: 26321351
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Unsupervised Domain Adaptation with Shape Constraint and Triple Attention for Joint Optic Disc and Cup Segmentation.
    Zhang F; Li S; Deng J
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433345
    [TBL] [Abstract][Full Text] [Related]  

  • 35. An efficient optic cup segmentation method decreasing the influences of blood vessels.
    Yang C; Lu M; Duan Y; Liu B
    Biomed Eng Online; 2018 Sep; 17(1):130. PubMed ID: 30257677
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Optic Disc and Cup Image Segmentation Utilizing Contour-Based Transformation and Sequence Labeling Networks.
    Xie Z; Ling T; Yang Y; Shu R; Liu BJ
    J Med Syst; 2020 Mar; 44(5):96. PubMed ID: 32193703
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection.
    Jiang Y; Xia H; Xu Y; Cheng J; Fu H; Duan L; Meng Z; Liu J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():862-865. PubMed ID: 30440527
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Joint optic disc and cup segmentation using semi-supervised conditional GANs.
    Liu S; Hong J; Lu X; Jia X; Lin Z; Zhou Y; Liu Y; Zhang H
    Comput Biol Med; 2019 Dec; 115():103485. PubMed ID: 31630029
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey.
    Almazroa A; Burman R; Raahemifar K; Lakshminarayanan V
    J Ophthalmol; 2015; 2015():180972. PubMed ID: 26688751
    [TBL] [Abstract][Full Text] [Related]  

  • 40. JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation.
    Jiang Y; Duan L; Cheng J; Gu Z; Xia H; Fu H; Li C; Liu J
    IEEE Trans Biomed Eng; 2020 Feb; 67(2):335-343. PubMed ID: 31021760
    [TBL] [Abstract][Full Text] [Related]  

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