BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

311 related articles for article (PubMed ID: 35186359)

  • 1. Adaptive fuzzy deformable fusion and optimized CNN with ensemble classification for automated brain tumor diagnosis.
    Murthy MYB; Koteswararao A; Babu MS
    Biomed Eng Lett; 2022 Feb; 12(1):37-58. PubMed ID: 35186359
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Adaptive UNet-based Lung Segmentation and Ensemble Learning with CNN-based Deep Features for Automated COVID-19 Diagnosis.
    Das A
    Multimed Tools Appl; 2022; 81(4):5407-5441. PubMed ID: 34955679
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
    Haq EU; Jianjun H; Huarong X; Li K; Weng L
    Comput Math Methods Med; 2022; 2022():6446680. PubMed ID: 36035291
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors.
    Chen B; Zhang L; Chen H; Liang K; Chen X
    Comput Methods Programs Biomed; 2021 Mar; 200():105797. PubMed ID: 33317871
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Brain tissue segmentation using fuzzy clustering techniques.
    Sucharitha M; Geetha KP
    Technol Health Care; 2015; 23(5):571-80. PubMed ID: 26410118
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sparse-FCM and Deep Convolutional Neural Network for the segmentation and classification of acute lymphoblastic leukaemia.
    Praveena S; Singh SP
    Biomed Tech (Berl); 2020 Jul; ():. PubMed ID: 32706747
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of magnetic resonance image segmentation in brain low-grade gliomas using support vector machine and convolutional neural network.
    Yang Q; Zhang H; Xia J; Zhang X
    Quant Imaging Med Surg; 2021 Jan; 11(1):300-316. PubMed ID: 33392030
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimized Deformable Model-based Segmentation and Deep Learning for Lung Cancer Classification.
    Shetty MV; D J; Tunga S
    J Med Invest; 2022; 69(3.4):244-255. PubMed ID: 36244776
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Segmentation and classification of brain tumors using fuzzy 3D highlighting and machine learning.
    Mowlani K; Jafari Shahbazzadeh M; Hashemipour M
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):9025-9041. PubMed ID: 37166578
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic cardiac cine MRI segmentation and heart disease classification.
    Ammar A; Bouattane O; Youssfi M
    Comput Med Imaging Graph; 2021 Mar; 88():101864. PubMed ID: 33485057
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-Classification of Brain Tumors on Magnetic Resonance Images Using an Ensemble of Pre-Trained Convolutional Neural Networks.
    Wu M; Liu Q; Yan C; Sen G
    Curr Med Imaging; 2022; 19(1):65-76. PubMed ID: 35430973
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age.
    Wahlang I; Maji AK; Saha G; Chakrabarti P; Jasinski M; Leonowicz Z; Jasinska E
    Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270913
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. DeepTumor: Framework for Brain MR Image Classification, Segmentation and Tumor Detection.
    Latif G
    Diagnostics (Basel); 2022 Nov; 12(11):. PubMed ID: 36428948
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 16.