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 *

260 related articles for article (PubMed ID: 28836125)

  • 1. Automatic optic disk detection in retinal images using hybrid vessel phase portrait analysis.
    Muangnak N; Aimmanee P; Makhanov S
    Med Biol Eng Comput; 2018 Apr; 56(4):583-598. PubMed ID: 28836125
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Vessel-based hybrid optic disk segmentation applied to mobile phone camera retinal images.
    Khaing TT; Aimmanee P; Makhanov S; Haneishi H
    Med Biol Eng Comput; 2022 Feb; 60(2):421-437. PubMed ID: 34988764
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optic Disk Detection in Fundus Image Based on Structured Learning.
    Fan Z; Rong Y; Cai X; Lu J; Li W; Lin H; Chen X
    IEEE J Biomed Health Inform; 2018 Jan; 22(1):224-234. PubMed ID: 28692999
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optic Disc Boundary and Vessel Origin Segmentation of Fundus Images.
    Roychowdhury S; Koozekanani DD; Kuchinka SN; Parhi KK
    IEEE J Biomed Health Inform; 2016 Nov; 20(6):1562-1574. PubMed ID: 26316237
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A location-to-segmentation strategy for automatic exudate segmentation in colour retinal fundus images.
    Liu Q; Zou B; Chen J; Ke W; Yue K; Chen Z; Zhao G
    Comput Med Imaging Graph; 2017 Jan; 55():78-86. PubMed ID: 27665058
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic optic disc localization and segmentation in retinal images by a line operator and level sets.
    Ren F; Li W; Yang J; Geng H; Zhao D
    Technol Health Care; 2016 Apr; 24 Suppl 2():S767-76. PubMed ID: 27198460
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fast localization and segmentation of optic disk in retinal images using directional matched filtering and level sets.
    Yu H; Barriga ES; Agurto C; Echegaray S; Pattichis MS; Bauman W; Soliz P
    IEEE Trans Inf Technol Biomed; 2012 Jul; 16(4):644-57. PubMed ID: 22588616
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Detection of Optic Disc in Retinal Image by Using Keypoint Detection, Texture Analysis, and Visual Dictionary Techniques.
    Akyol K; Şen B; Bayır Ş
    Comput Math Methods Med; 2016; 2016():6814791. PubMed ID: 27110272
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optic disc detection and segmentation using saliency mask in retinal fundus images.
    Zaaboub N; Sandid F; Douik A; Solaiman B
    Comput Biol Med; 2022 Nov; 150():106067. PubMed ID: 36150251
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An approach to locate optic disc in retinal images with pathological changes.
    Xiong L; Li H
    Comput Med Imaging Graph; 2016 Jan; 47():40-50. PubMed ID: 26650403
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Novel Accurate and Fast Optic Disc Detection in Retinal Images With Vessel Distribution and Directional Characteristics.
    Zhang D; Zhao Y
    IEEE J Biomed Health Inform; 2016 Jan; 20(1):333-42. PubMed ID: 25361515
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Obtaining optic disc center and pixel region by automatic thresholding methods on morphologically processed fundus images.
    Marin D; Gegundez-Arias ME; Suero A; Bravo JM
    Comput Methods Programs Biomed; 2015 Feb; 118(2):173-85. PubMed ID: 25433912
    [TBL] [Abstract][Full Text] [Related]  

  • 13. PCA-based localization approach for segmentation of optic disc.
    Gopi VP; Anjali MS; Niwas SI
    Int J Comput Assist Radiol Surg; 2017 Dec; 12(12):2195-2204. PubMed ID: 28965293
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic Detection of Hard Exudates in Color Retinal Images Using Dynamic Threshold and SVM Classification: Algorithm Development and Evaluation.
    Long S; Huang X; Chen Z; Pardhan S; Zheng D
    Biomed Res Int; 2019; 2019():3926930. PubMed ID: 30809539
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated detection of optic disk in retinal fundus images using intuitionistic fuzzy histon segmentation.
    Mookiah MR; Acharya UR; Chua CK; Min LC; Ng EY; Mushrif MM; Laude A
    Proc Inst Mech Eng H; 2013 Jan; 227(1):37-49. PubMed ID: 23516954
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A new robust method for blood vessel segmentation in retinal fundus images based on weighted line detector and hidden Markov model.
    Zhou C; Zhang X; Chen H
    Comput Methods Programs Biomed; 2020 Apr; 187():105231. PubMed ID: 31786454
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Segmentation of the blood vessels and optic disk in retinal images.
    Salazar-Gonzalez A; Kaba D; Li Y; Liu X
    IEEE J Biomed Health Inform; 2014 Nov; 18(6):1874-86. PubMed ID: 25265617
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic localization of the optic disc by combining vascular and intensity information.
    Mendonça AM; Sousa A; Mendonça L; Campilho A
    Comput Med Imaging Graph; 2013; 37(5-6):409-17. PubMed ID: 23726437
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optic Disc Localization in Retinal Images Based on Cumulative Sum Fields.
    Soares I; Castelo-Branco M; Pinheiro AM
    IEEE J Biomed Health Inform; 2016 Mar; 20(2):574-85. PubMed ID: 25594989
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection.
    M S; Issac A; Dutta MK
    Int J Med Inform; 2018 Feb; 110():52-70. PubMed ID: 29331255
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.