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 *

120 related articles for article (PubMed ID: 30968570)

  • 1. Coupled s-excess HMM for vessel border tracking and segmentation.
    Essa E; Jones JL; Xie X
    Int J Numer Method Biomed Eng; 2019 Jul; 35(7):e3206. PubMed ID: 30968570
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic segmentation of lymph vessel wall using optimal surface graph cut and hidden Markov Models.
    Jones JL; Essa E; Xie X
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():2403-6. PubMed ID: 26736778
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory.
    Churbanov A; Winters-Hilt S
    BMC Bioinformatics; 2008 Apr; 9():224. PubMed ID: 18447951
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
    Ibragimov B; Xing L
    Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
    Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
    Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The application of Baum-Welch algorithm in multistep attack.
    Zhang Y; Zhao D; Liu J
    ScientificWorldJournal; 2014; 2014():374260. PubMed ID: 24991642
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
    Gao K; Niu S; Ji Z; Wu M; Chen Q; Xu R; Yuan S; Fan W; Chen Y; Dong J
    Comput Methods Programs Biomed; 2019 Jul; 176():69-80. PubMed ID: 31200913
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Semantic content analysis and annotation of histological images.
    Yu F; Ip HH
    Comput Biol Med; 2008 Jun; 38(6):635-49. PubMed ID: 18455157
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A linear memory algorithm for Baum-Welch training.
    Miklós I; Meyer IM
    BMC Bioinformatics; 2005 Sep; 6():231. PubMed ID: 16171529
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Convolutional Neural Networks for Heart Sound Segmentation.
    Renna F; Oliveira J; Coimbra MT
    IEEE J Biomed Health Inform; 2019 Nov; 23(6):2435-2445. PubMed ID: 30668487
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Maximization of regional probabilities using Optimal Surface Graphs: Application to carotid artery segmentation in MRI.
    Arias Lorza AM; van Engelen A; Petersen J; van der Lugt A; de Bruijne M
    Med Phys; 2018 Mar; 45(3):1159-1169. PubMed ID: 29369385
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy.
    Scherr T; Löffler K; Böhland M; Mikut R
    PLoS One; 2020; 15(12):e0243219. PubMed ID: 33290432
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A novel rotationally invariant region-based hidden Markov model for efficient 3-D image segmentation.
    Huang A; Abugharbieh R; Tam R
    IEEE Trans Image Process; 2010 Oct; 19(10):2737-48. PubMed ID: 20423805
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Introduction to Hidden Markov Models and Its Applications in Biology.
    Vijayabaskar MS
    Methods Mol Biol; 2017; 1552():1-12. PubMed ID: 28224487
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A computationally efficient approach to the estimation of two- and three-dimensional hidden Markov models.
    Joshi D; Li J; Wang JZ
    IEEE Trans Image Process; 2006 Jul; 15(7):1871-86. PubMed ID: 16830909
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.
    Gordon MN; Hadjiiski LM; Cha KH; Samala RK; Chan HP; Cohan RH; Caoili EM
    Med Phys; 2019 Feb; 46(2):634-648. PubMed ID: 30520055
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
    Ma J; Wu F; Jiang T; Zhao Q; Kong D
    Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Scale-space approximated convolutional neural networks for retinal vessel segmentation.
    Noh KJ; Park SJ; Lee S
    Comput Methods Programs Biomed; 2019 Sep; 178():237-246. PubMed ID: 31416552
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A segmentation method combining probability map and boundary based on multiple fully convolutional networks and repetitive training.
    Yin W; Hu Y; Yi S; He J
    Phys Med Biol; 2019 Sep; 64(18):185003. PubMed ID: 30808019
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.