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 *

364 related articles for article (PubMed ID: 32568669)

  • 21. An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.
    Hoseini F; Shahbahrami A; Bayat P
    J Digit Imaging; 2018 Oct; 31(5):738-747. PubMed ID: 29488179
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network.
    Soomro MH; Coppotelli M; Conforto S; Schmid M; Giunta G; Del Secco L; Neri E; Caruso D; Rengo M; Laghi A
    J Healthc Eng; 2019; 2019():1075434. PubMed ID: 30838121
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.
    Mzoughi H; Njeh I; Wali A; Slima MB; BenHamida A; Mhiri C; Mahfoudhe KB
    J Digit Imaging; 2020 Aug; 33(4):903-915. PubMed ID: 32440926
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet Transform.
    Tamilarasi M; Kumarganesh S; Sagayam KM; Andrew J
    J Comput Biol; 2024 Aug; 31(8):757-768. PubMed ID: 38934096
    [TBL] [Abstract][Full Text] [Related]  

  • 25. CLCU-Net: Cross-level connected U-shaped network with selective feature aggregation attention module for brain tumor segmentation.
    Wang YL; Zhao ZJ; Hu SY; Chang FL
    Comput Methods Programs Biomed; 2021 Aug; 207():106154. PubMed ID: 34034031
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A multiple-channel and atrous convolution network for ultrasound image segmentation.
    Zhang L; Zhang J; Li Z; Song Y
    Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A Fully Automated Deep Learning Network for Brain Tumor Segmentation.
    Bangalore Yogananda CG; Shah BR; Vejdani-Jahromi M; Nalawade SS; Murugesan GK; Yu FF; Pinho MC; Wagner BC; Emblem KE; Bjørnerud A; Fei B; Madhuranthakam AJ; Maldjian JA
    Tomography; 2020 Jun; 6(2):186-193. PubMed ID: 32548295
    [TBL] [Abstract][Full Text] [Related]  

  • 28. DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation.
    Sun J; Chen W; Peng S; Liu B
    J Med Syst; 2019 Jun; 43(7):221. PubMed ID: 31177346
    [TBL] [Abstract][Full Text] [Related]  

  • 29. RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames.
    Rehman MU; Ryu J; Nizami IF; Chong KT
    Comput Biol Med; 2023 Jan; 152():106426. PubMed ID: 36565485
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
    Pereira S; Pinto A; Alves V; Silva CA
    IEEE Trans Med Imaging; 2016 May; 35(5):1240-1251. PubMed ID: 26960222
    [TBL] [Abstract][Full Text] [Related]  

  • 31. [Segmentation of brain tumor on magnetic resonance images using 3D full-convolutional densely connected convolutional networks].
    Huang YH; Feng QJ
    Nan Fang Yi Ke Da Xue Xue Bao; 2018 Jun; 38(6):661-668. PubMed ID: 29997087
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Research on Segmentation of Brain Tumor in MRI Image Based on Convolutional Neural Network.
    Feng Y; Li J; Zhang X
    Biomed Res Int; 2022; 2022():7911801. PubMed ID: 36033565
    [TBL] [Abstract][Full Text] [Related]  

  • 33. GSNet: a multi-class 3D attention-based hybrid glioma segmentation network.
    Jawad MT; Yeafi A; Halder KK
    Opt Express; 2023 Nov; 31(24):40881-40906. PubMed ID: 38041378
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A systematic evaluation of learning rate policies in training CNNs for brain tumor segmentation.
    Bukhari ST; Mohy-Ud-Din H
    Phys Med Biol; 2021 May; 66(10):. PubMed ID: 33545703
    [TBL] [Abstract][Full Text] [Related]  

  • 35. MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.
    Li X; Jiang Y; Li M; Zhang J; Yin S; Luo H
    Med Phys; 2023 Apr; 50(4):2249-2262. PubMed ID: 35962724
    [TBL] [Abstract][Full Text] [Related]  

  • 36. GMAlignNet: multi-scale lightweight brain tumor image segmentation with enhanced semantic information consistency.
    Song J; Lu X; Gu Y
    Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38657628
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.
    Di Ieva A; Russo C; Liu S; Jian A; Bai MY; Qian Y; Magnussen JS
    Neuroradiology; 2021 Aug; 63(8):1253-1262. PubMed ID: 33501512
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
    Hasan MK; Calvet L; Rabbani N; Bartoli A
    Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Automatic segmentation of prostate MRI based on 3D pyramid pooling Unet.
    Li Y; Lin C; Zhang Y; Feng S; Huang M; Bai Z
    Med Phys; 2023 Feb; 50(2):906-921. PubMed ID: 35923153
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Attention-guided multi-scale context aggregation network for multi-modal brain glioma segmentation.
    Wu S; Cao Y; Li X; Liu Q; Ye Y; Liu X; Zeng L; Tian M
    Med Phys; 2023 Dec; 50(12):7629-7640. PubMed ID: 37151131
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 19.