BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 38627421)

  • 1. Exploring fetal brain tumor glioblastoma symptom verification with self organizing maps and vulnerability data analysis.
    Natarajan SK; S J; Mathivanan SK; Rajadurai H; M B BAM; Shah MA
    Sci Rep; 2024 Apr; 14(1):8738. PubMed ID: 38627421
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.
    Sert E; Özyurt F; Doğantekin A
    Med Hypotheses; 2019 Dec; 133():109413. PubMed ID: 31586812
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Brain tumor segmentation approach based on the extreme learning machine and significantly fast and robust fuzzy C-means clustering algorithms running on Raspberry Pi hardware.
    Şişik F; Sert E
    Med Hypotheses; 2020 Mar; 136():109507. PubMed ID: 31812927
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Brain tumor classification for MRI images using dual-discriminator conditional generative adversarial network.
    Selvi T K; Sumaiya Begum A; Poonkuzhali P; Aarthi R
    Electromagn Biol Med; 2024 Apr; 43(1-2):81-94. PubMed ID: 38461438
    [TBL] [Abstract][Full Text] [Related]  

  • 6. ResNet-SVM: Fusion based glioblastoma tumor segmentation and classification.
    Sahli H; Ben Slama A; Zeraii A; Labidi S; Sayadi M
    J Xray Sci Technol; 2023; 31(1):27-48. PubMed ID: 36278391
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
    Kar S; Majumder DD
    Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
    Naceur MB; Saouli R; Akil M; Kachouri R
    Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Enhancement of Deep Learning Algorithm for Brain Tumor Segmentation Using Kernel Based CNN with M-SVM.
    Thillaikkarasi R; Saravanan S
    J Med Syst; 2019 Feb; 43(4):84. PubMed ID: 30810822
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MRI Brain Tumour Segmentation Using Hybrid Clustering and Classification by Back Propagation Algorithm.
    M M; P S
    Asian Pac J Cancer Prev; 2018 Nov; 19(11):3257-3263. PubMed ID: 30486629
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images.
    Aswani K; Menaka D
    BMC Med Imaging; 2021 May; 21(1):82. PubMed ID: 33985449
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Self-attention-based generative adversarial network optimized with color harmony algorithm for brain tumor classification.
    S SP; A S; T K; S D
    Electromagn Biol Med; 2024 Apr; 43(1-2):31-45. PubMed ID: 38369844
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm.
    Ranjbarzadeh R; Zarbakhsh P; Caputo A; Tirkolaee EB; Bendechache M
    Comput Biol Med; 2024 Jan; 168():107723. PubMed ID: 38000242
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Non-invasive grading of brain tumors using online support vector machine with dynamic fuzzy rule-based parameters optimization.
    Harati Kabir V; Mahdavifar Khayati R; Fallahi A
    Proc Inst Mech Eng H; 2023 Jun; 237(6):727-740. PubMed ID: 37237435
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A review on brain tumor segmentation of MRI images.
    Wadhwa A; Bhardwaj A; Singh Verma V
    Magn Reson Imaging; 2019 Sep; 61():247-259. PubMed ID: 31200024
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.
    Chen M; Yan Q; Qin M
    Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):200-211. PubMed ID: 29072503
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical Evaluation of a Multiparametric Deep Learning Model for Glioblastoma Segmentation Using Heterogeneous Magnetic Resonance Imaging Data From Clinical Routine.
    Perkuhn M; Stavrinou P; Thiele F; Shakirin G; Mohan M; Garmpis D; Kabbasch C; Borggrefe J
    Invest Radiol; 2018 Nov; 53(11):647-654. PubMed ID: 29863600
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel in silico platform for a fully automatic personalized brain tumor growth.
    Hajishamsaei M; Pishevar A; Bavi O; Soltani M
    Magn Reson Imaging; 2020 May; 68():121-126. PubMed ID: 31911200
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.