BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

210 related articles for article (PubMed ID: 34974232)

  • 1. A computer-aided grading of glioma tumor using deep residual networks fusion.
    Tripathi PC; Bag S
    Comput Methods Programs Biomed; 2022 Mar; 215():106597. PubMed ID: 34974232
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks.
    Ge C; Gu IY; Jakola AS; Yang J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5894-5897. PubMed ID: 30441677
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparative study for glioma classification using deep convolutional neural networks.
    Özcan H; Emiroğlu BG; Sabuncuoğlu H; Özdoğan S; Soyer A; Saygı T
    Math Biosci Eng; 2021 Jan; 18(2):1550-1572. PubMed ID: 33757198
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. UniVisNet: A Unified Visualization and Classification Network for accurate grading of gliomas from MRI.
    Zheng Y; Huang D; Hao X; Wei J; Lu H; Liu Y
    Comput Biol Med; 2023 Oct; 165():107332. PubMed ID: 37598632
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep semi-supervised learning for brain tumor classification.
    Ge C; Gu IY; Jakola AS; Yang J
    BMC Med Imaging; 2020 Jul; 20(1):87. PubMed ID: 32727476
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A multi-class brain tumor grading system based on histopathological images using a hybrid YOLO and RESNET networks.
    Elazab N; Gab-Allah WA; Elmogy M
    Sci Rep; 2024 Feb; 14(1):4584. PubMed ID: 38403597
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An enhanced deep learning approach for brain cancer MRI images classification using residual networks.
    Abdelaziz Ismael SA; Mohammed A; Hefny H
    Artif Intell Med; 2020 Jan; 102():101779. PubMed ID: 31980109
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.
    Zahoor MM; Qureshi SA; Bibi S; Khan SH; Khan A; Ghafoor U; Bhutta MR
    Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408340
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Attention-Guided CNN Framework for Segmentation and Grading of Glioma Using 3D MRI Scans.
    Tripathi PC; Bag S
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):1890-1904. PubMed ID: 36350865
    [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. An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.
    Yazdan SA; Ahmad R; Iqbal N; Rizwan A; Khan AN; Kim DH
    Tomography; 2022 Jul; 8(4):1905-1927. PubMed ID: 35894026
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hierarchical-order multimodal interaction fusion network for grading gliomas.
    He M; Han K; Zhang Y; Chen W
    Phys Med Biol; 2021 Nov; 66(21):. PubMed ID: 34663762
    [No Abstract]   [Full Text] [Related]  

  • 16. Noninvasive grading of glioma brain tumors using magnetic resonance imaging and deep learning methods.
    Song G; Xie G; Nie Y; Majid MS; Yavari I
    J Cancer Res Clin Oncol; 2023 Dec; 149(18):16293-16309. PubMed ID: 37698684
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades.
    Zhang Z; Xiao J; Wu S; Lv F; Gong J; Jiang L; Yu R; Luo T
    J Digit Imaging; 2020 Aug; 33(4):826-837. PubMed ID: 32040669
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Grading of gliomas using transfer learning on MRI images.
    Fasihi Shirehjini O; Babapour Mofrad F; Shahmohammadi M; Karami F
    MAGMA; 2023 Feb; 36(1):43-53. PubMed ID: 36326937
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.