BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

93 related articles for article (PubMed ID: 27764213)

  • 1. A New Feedback-Based Method for Parameter Adaptation in Image Processing Routines.
    Khan AU; Mikut R; Reischl M
    PLoS One; 2016; 11(10):e0165180. PubMed ID: 27764213
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Benchmark Data Set to Evaluate the Illumination Robustness of Image Processing Algorithms for Object Segmentation and Classification.
    Khan AU; Mikut R; Reischl M
    PLoS One; 2015; 10(7):e0131098. PubMed ID: 26191792
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimizing the automatic segmentation of the left ventricle in magnetic resonance images.
    Angelie E; de Koning PJ; Danilouchkine MG; van Assen HC; Koning G; van der Geest RJ; Reiber JH
    Med Phys; 2005 Feb; 32(2):369-75. PubMed ID: 15789581
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering.
    Shan J; Cheng HD; Wang Y
    Med Phys; 2012 Sep; 39(9):5669-82. PubMed ID: 22957633
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Interactive vs. automatic ultrasound image segmentation methods for staging hepatic lipidosis.
    Weijers G; Starke A; Haudum A; Thijssen JM; Rehage J; De Korte CL
    Ultrason Imaging; 2010 Jul; 32(3):143-53. PubMed ID: 20718244
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of parameter-adapted segmentation methods for fluorescence micrographs.
    Held C; Palmisano R; Häberle L; Hensel M; Wittenberg T
    Cytometry A; 2011 Nov; 79(11):933-45. PubMed ID: 22002887
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Combinational Clustering Based Method for cDNA Microarray Image Segmentation.
    Shao G; Li T; Zuo W; Wu S; Liu T
    PLoS One; 2015; 10(8):e0133025. PubMed ID: 26241767
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An extension of the standard mixture model for image segmentation.
    Nguyen TM; Wu QM; Ahuja S
    IEEE Trans Neural Netw; 2010 Aug; 21(8):1326-38. PubMed ID: 20643603
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification-based summation of cerebral digital subtraction angiography series for image post-processing algorithms.
    Schuldhaus D; Spiegel M; Redel T; Polyanskaya M; Struffert T; Hornegger J; Doerfler A
    Phys Med Biol; 2011 Mar; 56(6):1791-802. PubMed ID: 21346277
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Grow-cut based automatic cDNA microarray image segmentation.
    Katsigiannis S; Zacharia E; Maroulis D
    IEEE Trans Nanobioscience; 2015 Jan; 14(1):138-45. PubMed ID: 25438323
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel segmentation approach for noisy medical images using intuitionistic fuzzy divergence with neighbourhood-based membership function.
    Jati A; Singh G; Koley S; Konar A; Ray AK; Chakraborty C
    J Microsc; 2015 Mar; 257(3):187-200. PubMed ID: 25458042
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Segmentation-free empirical beam hardening correction for CT.
    Schüller S; Sawall S; Stannigel K; Hülsbusch M; Ulrici J; Hell E; Kachelrieß M
    Med Phys; 2015 Feb; 42(2):794-803. PubMed ID: 25652493
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Unified Framework for Brain Segmentation in MR Images.
    Yazdani S; Yusof R; Karimian A; Riazi AH; Bennamoun M
    Comput Math Methods Med; 2015; 2015():829893. PubMed ID: 26089978
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Registration of renal SPECT and 2.5D US images.
    Galdames FJ; Perez CA; Estévez PA; Held CM; Jaillet F; Lobo G; Donoso G; Coll C
    Comput Med Imaging Graph; 2011 Jun; 35(4):302-14. PubMed ID: 21371860
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Algorithms for cytoplasm segmentation of fluorescence labelled cells.
    Wählby C; Lindblad J; Vondrus M; Bengtsson E; Björkesten L
    Anal Cell Pathol; 2002; 24(2-3):101-11. PubMed ID: 12446959
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic brain MR image denoising based on texture feature-based artificial neural networks.
    Chang YN; Chang HH
    Biomed Mater Eng; 2015; 26 Suppl 1():S1275-82. PubMed ID: 26405887
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A biosegmentation benchmark for evaluation of bioimage analysis methods.
    Drelie Gelasca E; Obara B; Fedorov D; Kvilekval K; Manjunath B
    BMC Bioinformatics; 2009 Nov; 10():368. PubMed ID: 19878606
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic Lumen Segmentation in Intravascular Optical Coherence Tomography Images Using Level Set.
    Cao Y; Cheng K; Qin X; Yin Q; Li J; Zhu R; Zhao W
    Comput Math Methods Med; 2017; 2017():4710305. PubMed ID: 28270857
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models.
    Lu P; Xia J; Li Z; Xiong J; Yang J; Zhou S; Wang L; Chen M; Wang C
    Biomed Eng Online; 2016 Nov; 15(1):120. PubMed ID: 27825346
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic segmentation of coronary arteries in CT imaging in the presence of kissing vessel artifacts.
    Wang Y; Liatsis P
    IEEE Trans Inf Technol Biomed; 2012 Jul; 16(4):782-8. PubMed ID: 22481830
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.