BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

174 related articles for article (PubMed ID: 35911847)

  • 1. Research and Analysis of Brain Glioma Imaging Based on Deep Learning.
    Luo T; Li Y
    J Healthc Eng; 2021; 2021():3426080. PubMed ID: 35911847
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
    Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
    Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
    Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
    Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.
    Zhang J; Lv X; Sun Q; Zhang Q; Wei X; Liu B
    Curr Med Imaging; 2020; 16(6):720-728. PubMed ID: 32723244
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.
    Zhang X; Hu Y; Chen W; Huang G; Nie S
    J Zhejiang Univ Sci B; 2021 Jun; 22(6):462-475. PubMed ID: 34128370
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. [Research on glioma magnetic resonance imaging segmentation based on dual-channel three-dimensional densely connected network].
    Huo Z; Du S; Chen Z; Dai W
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Oct; 36(5):763-768. PubMed ID: 31631624
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images.
    Naser MA; Deen MJ
    Comput Biol Med; 2020 Jun; 121():103758. PubMed ID: 32568668
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging.
    Papi Z; Fathi S; Dalvand F; Vali M; Yousefi A; Tabatabaei MH; Amouheidari A; Abedi I
    Neuroinformatics; 2023 Oct; 21(4):641-650. PubMed ID: 37458971
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Brain tumor segmentation using holistically nested neural networks in MRI images.
    Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
    Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [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]  

  • 16. An improved capsule network for glioma segmentation on MRI images: A curriculum learning approach.
    Amiri Tehrani Zade A; Aziz MJ; Masoudnia S; Mirbagheri A; Ahmadian A
    Comput Biol Med; 2022 Sep; 148():105917. PubMed ID: 35985187
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
    Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
    Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Robust and Accurate Deep-learning-based Method for the Segmentation of Subcortical Brain: Cross-dataset Evaluation of Generalization Performance.
    Furuhashi N; Okuhata S; Kobayashi T
    Magn Reson Med Sci; 2021 Jun; 20(2):166-174. PubMed ID: 32389928
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cascaded mutual enhancing networks for brain tumor subregion segmentation in multiparametric MRI.
    Momin S; Lei Y; Tian Z; Roper J; Lin J; Kahn S; Shu HK; Bradley J; Liu T; Yang X
    Phys Med Biol; 2022 Apr; 67(8):. PubMed ID: 35299156
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture.
    Shaukat Z; Farooq QUA; Tu S; Xiao C; Ali S
    BMC Bioinformatics; 2022 Jun; 23(1):251. PubMed ID: 35751030
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.