BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1248 related articles for article (PubMed ID: 27310171)

  • 21. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
    Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
    Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
    [TBL] [Abstract][Full Text] [Related]  

  • 22. An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine.
    Özyurt F; Sert E; Avcı D
    Med Hypotheses; 2020 Jan; 134():109433. PubMed ID: 31634769
    [TBL] [Abstract][Full Text] [Related]  

  • 23. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.
    Zeineldin RA; Karar ME; Coburger J; Wirtz CR; Burgert O
    Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):909-920. PubMed ID: 32372386
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks.
    Men K; Dai J; Li Y
    Med Phys; 2017 Dec; 44(12):6377-6389. PubMed ID: 28963779
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A deep convolutional neural network for the automatic segmentation of glioblastoma brain tumor: Joint spatial pyramid module and attention mechanism network.
    Liu H; Huang J; Li Q; Guan X; Tseng M
    Artif Intell Med; 2024 Feb; 148():102776. PubMed ID: 38325925
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review.
    Bernal J; Kushibar K; Asfaw DS; Valverde S; Oliver A; Martí R; Lladó X
    Artif Intell Med; 2019 Apr; 95():64-81. PubMed ID: 30195984
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy.
    Ben Naceur M; Akil M; Saouli R; Kachouri R
    Med Image Anal; 2020 Jul; 63():101692. PubMed ID: 32417714
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
    Dolz J; Xu X; Rony J; Yuan J; Liu Y; Granger E; Desrosiers C; Zhang X; Ben Ayed I; Lu H
    Med Phys; 2018 Dec; 45(12):5482-5493. PubMed ID: 30328624
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images.
    Banzato T; Bernardini M; Cherubini GB; Zotti A
    BMC Vet Res; 2018 Oct; 14(1):317. PubMed ID: 30348148
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.
    Ouhmich F; Agnus V; Noblet V; Heitz F; Pessaux P
    Int J Comput Assist Radiol Surg; 2019 Aug; 14(8):1275-1284. PubMed ID: 31041697
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks.
    Abd-Ellah MK; Awad AI; Khalaf AAM; Ibraheem AM
    Sci Rep; 2024 Apr; 14(1):9501. PubMed ID: 38664436
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deep Convolutional Neural Networks for large-scale speech tasks.
    Sainath TN; Kingsbury B; Saon G; Soltau H; Mohamed AR; Dahl G; Ramabhadran B
    Neural Netw; 2015 Apr; 64():39-48. PubMed ID: 25439765
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound.
    Gómez-Flores W; Coelho de Albuquerque Pereira W
    Comput Biol Med; 2020 Nov; 126():104036. PubMed ID: 33059238
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization.
    Natarajan A; Kumarasamy S
    J Med Syst; 2019 Jan; 43(2):25. PubMed ID: 30604101
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
    Xu Y; Jia Z; Wang LB; Ai Y; Zhang F; Lai M; Chang EI
    BMC Bioinformatics; 2017 May; 18(1):281. PubMed ID: 28549410
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Fast and robust segmentation of the striatum using deep convolutional neural networks.
    Choi H; Jin KH
    J Neurosci Methods; 2016 Dec; 274():146-153. PubMed ID: 27777000
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
    Zhang W; Li R; Deng H; Wang L; Lin W; Ji S; Shen D
    Neuroimage; 2015 Mar; 108():214-24. PubMed ID: 25562829
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Magnetic Resonance Imaging Images Based Brain Tumor Extraction, Segmentation and Detection Using Convolutional Neural Network and VGC 16 Model.
    Shunmugavel G; Suriyan K; Arumugam J
    Am J Clin Oncol; 2024 Jul; 47(7):339-349. PubMed ID: 38632686
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.
    Ma Z; Zhou S; Wu X; Zhang H; Yan W; Sun S; Zhou J
    Phys Med Biol; 2019 Jan; 64(2):025005. PubMed ID: 30524024
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 63.