BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 32598263)

  • 1. An Efficient Cancer Classification Model for CT/MRI/PET Fused Images.
    Srimathi S; Yamuna G; Nanmaran R
    Curr Med Imaging; 2021; 17(3):319-330. PubMed ID: 32598263
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Investigating the Role of Image Fusion in Brain Tumor Classification Models Based on Machine Learning Algorithm for Personalized Medicine.
    Nanmaran R; Srimathi S; Yamuna G; Thanigaivel S; Vickram AS; Priya AK; Karthick A; Karpagam J; Mohanavel V; Muhibbullah M
    Comput Math Methods Med; 2022; 2022():7137524. PubMed ID: 35178119
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel algorithm for PET and MRI fusion based on digital curvelet transform via extracting lesions on both images.
    Alipour SHM; Houshyari M; Mostaar A
    Electron Physician; 2017 Jul; 9(7):4872-4879. PubMed ID: 28894548
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Phenotype recognition with combined features and random subspace classifier ensemble.
    Zhang B; Pham TD
    BMC Bioinformatics; 2011 Apr; 12():128. PubMed ID: 21529372
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseases.
    Ma L; Liu X; Song L; Zhou C; Zhao X; Zhao Y
    Comput Med Imaging Graph; 2015 Mar; 40():39-48. PubMed ID: 25453465
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of Heart Disease Using MFO Based Neural Network on MRI Images.
    K K; N UM; R V
    Curr Med Imaging; 2021; 17(9):1114-1127. PubMed ID: 33573572
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An efficient wavelet and curvelet-based PET image denoising technique.
    Bal A; Banerjee M; Sharma P; Maitra M
    Med Biol Eng Comput; 2019 Dec; 57(12):2567-2598. PubMed ID: 31654293
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning supported disease detection with multi-modality image fusion.
    Sangeetha Francelin Vinnarasi F; Daniel J; Anita Rose JT; Pugalenthi R
    J Xray Sci Technol; 2021; 29(3):411-434. PubMed ID: 33814482
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
    Lee HS; Hong H; Jung DC; Park S; Kim J
    Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning.
    Yu H; Caldwell C; Mah K; Mozeg D
    IEEE Trans Med Imaging; 2009 Mar; 28(3):374-83. PubMed ID: 19244009
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Texture analysis on (18)F-FDG PET/CT images to differentiate malignant and benign bone and soft-tissue lesions.
    Xu R; Kido S; Suga K; Hirano Y; Tachibana R; Muramatsu K; Chagawa K; Tanaka S
    Ann Nucl Med; 2014 Nov; 28(9):926-35. PubMed ID: 25107363
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers.
    Mougiakakou SG; Valavanis IK; Nikita A; Nikita KS
    Artif Intell Med; 2007 Sep; 41(1):25-37. PubMed ID: 17624744
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier.
    Liu H; Lan Y; Xu X; Song E; Hung CC
    Acad Radiol; 2011 Dec; 18(12):1475-84. PubMed ID: 22055794
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Contrast enhancement in emission tomography by way of synergistic PET/CT image combination.
    Boussion N; Hatt M; Lamare F; Rest CC; Visvikis D
    Comput Methods Programs Biomed; 2008 Jun; 90(3):191-201. PubMed ID: 18291555
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A robust classification of acute lymphocytic leukemia-based microscopic images with supervised Hilbert-Huang transform.
    Elrefaie RM; Mohamed MA; Marzouk EA; Ata MM
    Microsc Res Tech; 2024 Feb; 87(2):191-204. PubMed ID: 37715495
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multimodal medical image fusion algorithm based on pulse coupled neural networks and nonsubsampled contourlet transform.
    Ibrahim SI; Makhlouf MA; El-Tawel GS
    Med Biol Eng Comput; 2023 Jan; 61(1):155-177. PubMed ID: 36342598
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multimodal Brain Tumor Classification Using Convolutional Tumnet Architecture.
    Usha MP; Kannan G; Ramamoorthy M
    Behav Neurol; 2024; 2024():4678554. PubMed ID: 38882177
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of an Automated Medical Diagnosis System for Classifying Thyroid Tumor Cells using Multiple Classifier Fusion.
    Gopinath B; Shanthi N
    Technol Cancer Res Treat; 2015 Oct; 14(5):653-62. PubMed ID: 24750006
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.