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 *

127 related articles for article (PubMed ID: 31303890)

  • 21. StomataCounter: a neural network for automatic stomata identification and counting.
    Fetter KC; Eberhardt S; Barclay RS; Wing S; Keller SR
    New Phytol; 2019 Aug; 223(3):1671-1681. PubMed ID: 31059134
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Hue-texture-embedded region-based model for magnifying endoscopy with narrow-band imaging image segmentation based on visual features.
    Liu X; Wang C; Bai J; Liao G; Zhao Y
    Comput Methods Programs Biomed; 2017 Jul; 145():53-66. PubMed ID: 28552126
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Anatomical structure segmentation from early fetal ultrasound sequences using global pollination CAT swarm optimizer-based Chan-Vese model.
    Femina MA; Raajagopalan SP
    Med Biol Eng Comput; 2019 Aug; 57(8):1763-1782. PubMed ID: 31190201
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Liver Ultrasound Image Segmentation Using Region-Difference Filters.
    Jain N; Kumar V
    J Digit Imaging; 2017 Jun; 30(3):376-390. PubMed ID: 28025732
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
    Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
    Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Automatic Measurement of Morphological Traits of Typical Leaf Samples.
    Huang X; Zheng S; Gui L
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33807117
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Moss stomata do not respond to light and CO
    Kubásek J; Hájek T; Duckett J; Pressel S; Šantrůček J
    New Phytol; 2021 Jun; 230(5):1815-1828. PubMed ID: 33458818
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Fully automated segmentation and morphometrical analysis of muscle fiber images.
    Kim YJ; Brox T; Feiden W; Weickert J
    Cytometry A; 2007 Jan; 71(1):8-15. PubMed ID: 17211880
    [TBL] [Abstract][Full Text] [Related]  

  • 29. AutoIHC-Analyzer: computer-assisted microscopy for automated membrane extraction/scoring in HER2 molecular markers.
    Tewary S; Arun I; Ahmed R; Chatterjee S; Mukhopadhyay S
    J Microsc; 2021 Jan; 281(1):87-96. PubMed ID: 32803890
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Convolutional neural network for automatically segmenting magnetic resonance images of the shoulder joint.
    Wang G; Han Y
    Comput Methods Programs Biomed; 2021 Mar; 200():105862. PubMed ID: 33309302
    [TBL] [Abstract][Full Text] [Related]  

  • 31. In-depth learning of automatic segmentation of shoulder joint magnetic resonance images based on convolutional neural networks.
    Mu X; Cui Y; Bian R; Long L; Zhang D; Wang H; Shen Y; Wu J; Zou G
    Comput Methods Programs Biomed; 2021 Nov; 211():106325. PubMed ID: 34536635
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning.
    Raj R; Londhe ND; Sonawane R
    Comput Methods Programs Biomed; 2021 Jul; 206():106123. PubMed ID: 33975181
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates.
    Xu J; Liu J; Zhang D; Zhou Z; Jiang X; Zhang C; Chen X
    Int J Comput Assist Radiol Surg; 2021 Oct; 16(10):1785-1794. PubMed ID: 34287750
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Toward accurate tooth segmentation from computed tomography images using a hybrid level set model.
    Gan Y; Xia Z; Xiong J; Zhao Q; Hu Y; Zhang J
    Med Phys; 2015 Jan; 42(1):14-27. PubMed ID: 25563244
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Contourlet-based active contour model for PET image segmentation.
    Abdoli M; Dierckx RA; Zaidi H
    Med Phys; 2013 Aug; 40(8):082507. PubMed ID: 23927352
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Empirical gradient threshold technique for automated segmentation across image modalities and cell lines.
    Chalfoun J; Majurski M; Peskin A; Breen C; Bajcsy P; Brady M
    J Microsc; 2015 Oct; 260(1):86-99. PubMed ID: 26046924
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Automated interventricular septum segmentation for black-blood myocardial T2* measurement in thalassemia.
    Zheng Q; Feng Y; Wei X; Feng M; Chen W; Lu Z; Xu Y; Chen H; He T
    J Magn Reson Imaging; 2015 May; 41(5):1242-50. PubMed ID: 24862942
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A study on the feasibility of active contours on automatic CT bone segmentation.
    Truc PT; Kim TS; Lee S; Lee YK
    J Digit Imaging; 2010 Dec; 23(6):793-805. PubMed ID: 19495880
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Cross-scale modelling of transpiration from stomata via the leaf boundary layer.
    Defraeye T; Derome D; Verboven P; Carmeliet J; Nicolai B
    Ann Bot; 2014 Sep; 114(4):711-23. PubMed ID: 24510217
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Convolutional neural network for automated mass segmentation in mammography.
    Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
    BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.