BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

329 related articles for article (PubMed ID: 31608975)

  • 1. A Novel Deep Learning Algorithm for the Automatic Detection of High-Grade Gliomas on T2-Weighted Magnetic Resonance Images: A Preliminary Machine Learning Study.
    Atici MA; Sagiroglu S; Celtikci P; Ucar M; Borcek AO; Emmez H; Celtikci E
    Turk Neurosurg; 2020; 30(2):199-205. PubMed ID: 31608975
    [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. Improvement of Automatic Glioma Brain Tumor Detection Using Deep Convolutional Neural Networks.
    Altameem A; Mallikarjuna B; Saudagar AKJ; Sharma M; Poonia RC
    J Comput Biol; 2022 Jun; 29(6):530-544. PubMed ID: 35235381
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques.
    Saeedi S; Rezayi S; Keshavarz H; R Niakan Kalhori S
    BMC Med Inform Decis Mak; 2023 Jan; 23(1):16. PubMed ID: 36691030
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.
    Buchlak QD; Esmaili N; Leveque JC; Bennett C; Farrokhi F; Piccardi M
    J Clin Neurosci; 2021 Jul; 89():177-198. PubMed ID: 34119265
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning in the detection of high-grade glioma recurrence using multiple MRI sequences: A pilot study.
    Bacchi S; Zerner T; Dongas J; Asahina AT; Abou-Hamden A; Otto S; Oakden-Rayner L; Patel S
    J Clin Neurosci; 2019 Dec; 70():11-13. PubMed ID: 31648967
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT.
    Papadomanolakis TN; Sergaki ES; Polydorou AA; Krasoudakis AG; Makris-Tsalikis GN; Polydorou AA; Afentakis NM; Athanasiou SA; Vardiambasis IO; Zervakis ME
    Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831891
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network.
    Cui S; Mao L; Jiang J; Liu C; Xiong S
    J Healthc Eng; 2018; 2018():4940593. PubMed ID: 29755716
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated image quality evaluation of T
    Esses SJ; Lu X; Zhao T; Shanbhogue K; Dane B; Bruno M; Chandarana H
    J Magn Reson Imaging; 2018 Mar; 47(3):723-728. PubMed ID: 28577329
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Updates on Deep Learning and Glioma: Use of Convolutional Neural Networks to Image Glioma Heterogeneity.
    Chow DS; Khatri D; Chang PD; Zlochower A; Boockvar JA; Filippi CG
    Neuroimaging Clin N Am; 2020 Nov; 30(4):493-503. PubMed ID: 33038999
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
    Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
    Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning for World Health Organization grades of pancreatic neuroendocrine tumors on contrast-enhanced magnetic resonance images: a preliminary study.
    Gao X; Wang X
    Int J Comput Assist Radiol Surg; 2019 Nov; 14(11):1981-1991. PubMed ID: 31555998
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status.
    Kocak B; Durmaz ES; Ates E; Sel I; Turgut Gunes S; Kaya OK; Zeynalova A; Kilickesmez O
    Eur Radiol; 2020 Feb; 30(2):877-886. PubMed ID: 31691122
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
    Zhang X; Yan LF; Hu YC; Li G; Yang Y; Han Y; Sun YZ; Liu ZC; Tian Q; Han ZY; Liu LD; Hu BQ; Qiu ZY; Wang W; Cui GB
    Oncotarget; 2017 Jul; 8(29):47816-47830. PubMed ID: 28599282
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.