BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 30327998)

  • 1. Automatic cell segmentation in histopathological images via two-staged superpixel-based algorithms.
    Albayrak A; Bilgin G
    Med Biol Eng Comput; 2019 Mar; 57(3):653-665. PubMed ID: 30327998
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SLIC superpixels compared to state-of-the-art superpixel methods.
    Achanta R; Shaji A; Smith K; Lucchi A; Fua P; Süsstrunk S
    IEEE Trans Pattern Anal Mach Intell; 2012 Nov; 34(11):2274-82. PubMed ID: 22641706
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance evaluation of simple linear iterative clustering algorithm on medical image processing.
    Cong J; Wei B; Yin Y; Xi X; Zheng Y
    Biomed Mater Eng; 2014; 24(6):3231-8. PubMed ID: 25227032
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel multiphoton microscopy images segmentation method based on superpixel and watershed.
    Wu W; Lin J; Wang S; Li Y; Liu M; Liu G; Cai J; Chen G; Chen R
    J Biophotonics; 2017 Apr; 10(4):532-541. PubMed ID: 27090206
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm.
    Jianbing Shen ; Xiaopeng Hao ; Zhiyuan Liang ; Yu Liu ; Wenguan Wang ; Ling Shao
    IEEE Trans Image Process; 2016 Dec; 25(12):5933-5942. PubMed ID: 27740485
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Segmentation Method for Lung Parenchyma Image Sequences Based on Superpixels and a Self-Generating Neural Forest.
    Liao X; Zhao J; Jiao C; Lei L; Qiang Y; Cui Q
    PLoS One; 2016; 11(8):e0160556. PubMed ID: 27532214
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A new multistage medical segmentation method based on superpixel and fuzzy clustering.
    Ji S; Wei B; Yu Z; Yang G; Yin Y
    Comput Math Methods Med; 2014; 2014():747549. PubMed ID: 24734117
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Superpixel classification for initialization in model based optic disc segmentation.
    Cheng J; Liu J; Xu Y; Yin F; Wong DW; Lee BH; Cheung C; Aung T; Wong TY
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1450-3. PubMed ID: 23366174
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images.
    Gil Gonzalez J; Alvarez MA; Orozco AA
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4133-4136. PubMed ID: 28269192
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation.
    Zhong YF; Dai YX; Li SP; Zhu KJ; Lin YP; Ran Y; Chen L; Ruan Y; Yu PF; Li L; Li WX; Xu CL; Sun ZT; Weber KA; Kong DW; Yang F; Lin WP; Chen J; Chen BL; Jiang H; Zhou YJ; Sheng B; Wang YJ; Tian YZ; Sun YL
    Front Bioeng Biotechnol; 2024; 12():1337808. PubMed ID: 38681963
    [No Abstract]   [Full Text] [Related]  

  • 11. A region-based segmentation method for ultrasound images in HIFU therapy.
    Zhang D; Liu Y; Yang Y; Xu M; Yan Y; Qin Q
    Med Phys; 2016 Jun; 43(6):2975-2989. PubMed ID: 27277046
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF.
    Zhao L; Li K; Wang M; Yin J; Zhu E; Wu C; Wang S; Zhu C
    Comput Biol Med; 2016 Apr; 71():46-56. PubMed ID: 26874832
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automated layer segmentation of macular OCT images via graph-based SLIC superpixels and manifold ranking approach.
    Gao Z; Bu W; Zheng Y; Wu X
    Comput Med Imaging Graph; 2017 Jan; 55():42-53. PubMed ID: 27614678
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling.
    Farag A; Le Lu ; Roth HR; Liu J; Turkbey E; Summers RM
    IEEE Trans Image Process; 2017 Jan; 26(1):386-399. PubMed ID: 27831881
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Superpixel-Based Segmentation for 3D Prostate MR Images.
    Tian Z; Liu L; Zhang Z; Fei B
    IEEE Trans Med Imaging; 2016 Mar; 35(3):791-801. PubMed ID: 26540678
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ensemble segmentation using efficient integer linear programming.
    Alush A; Goldberger J
    IEEE Trans Pattern Anal Mach Intell; 2012 Oct; 34(10):1966-77. PubMed ID: 22213764
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Linear Spectral Clustering Superpixel.
    Chen J; Li Z; Huang B
    IEEE Trans Image Process; 2017 Jul; 26(7):3317-3330. PubMed ID: 28092548
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A method for automatic segmentation of nuclei in phase-contrast images based on intensity, convexity and texture.
    Dewan MA; Ahmad MO; Swamy MN
    IEEE Trans Biomed Circuits Syst; 2014 Oct; 8(5):716-28. PubMed ID: 25388879
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels.
    Sornapudi S; Stanley RJ; Stoecker WV; Almubarak H; Long R; Antani S; Thoma G; Zuna R; Frazier SR
    J Pathol Inform; 2018; 9():5. PubMed ID: 29619277
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Likelihood-Based SLIC Superpixel Algorithm for SAR Images Using Generalized Gamma Distribution.
    Zou H; Qin X; Zhou S; Ji K
    Sensors (Basel); 2016 Jul; 16(7):. PubMed ID: 27438840
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.