BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

133 related articles for article (PubMed ID: 29059862)

  • 1. SVM classifier on chip for melanoma detection.
    Afifi S; GholamHosseini H; Sinha R
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():270-274. PubMed ID: 29059862
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Medical Device for Early Detection of Melanoma.
    Afifi S; Gholamhosseini H; Sinha R; Lindén M
    Stud Health Technol Inform; 2019; 261():122-127. PubMed ID: 31156102
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms.
    Premaladha J; Ravichandran KS
    J Med Syst; 2016 Apr; 40(4):96. PubMed ID: 26872778
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Scalable and energy efficient seizure detection based on direct use of compressively-sensed EEG data on an ultra low power multi-core architecture.
    Aghazadeh R; Frounchi J; Montagna F; Benatti S
    Comput Biol Med; 2020 Oct; 125():104004. PubMed ID: 33011647
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reconfiguration-based implementation of SVM classifier on FPGA for Classifying Microarray data.
    Hussain HM; Benkrid K; Seker H
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():3058-61. PubMed ID: 24110373
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification.
    Chatterjee S; Dey D; Munshi S
    Comput Methods Programs Biomed; 2019 Sep; 178():201-218. PubMed ID: 31416550
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computer-Aided Diagnosis of Micro-Malignant Melanoma Lesions Applying Support Vector Machines.
    Jaworek-Korjakowska J
    Biomed Res Int; 2016; 2016():4381972. PubMed ID: 27382567
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A cascade classifier for diagnosis of melanoma in clinical images.
    Sabouri P; GholamHosseini H; Larsson T; Collins J
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6748-51. PubMed ID: 25571545
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Low-Power Hardware Implementation of a Support Vector Machine Training and Classification for Neural Seizure Detection.
    Elhosary H; Zakhari MH; Elgammal MA; Abd El Ghany MA; Salama KN; Mostafa H
    IEEE Trans Biomed Circuits Syst; 2019 Dec; 13(6):1324-1337. PubMed ID: 31613779
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers.
    Murugan A; Nair SAH; Kumar KPS
    J Med Syst; 2019 Jul; 43(8):269. PubMed ID: 31273532
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
    R D S; A S
    Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SVM-based texture classification and application to early melanoma detection.
    Yuan X; Yang Z; Zouridakis G; Mullani N
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():4775-8. PubMed ID: 17946649
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Resolution invariant wavelet features of melanoma studied by SVM classifiers.
    Surówka G; Ogorzalek M
    PLoS One; 2019; 14(2):e0211318. PubMed ID: 30726260
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines.
    Kyrkou C; Bouganis CS; Theocharides T; Polycarpou MM
    IEEE Trans Neural Netw Learn Syst; 2016 Jan; 27(1):99-112. PubMed ID: 26011869
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Efficient Skin Cancer Diagnostic System Using Bendlet Transform and Support Vector Machine.
    S P; Tr GB
    An Acad Bras Cienc; 2020; 92(1):e20190554. PubMed ID: 32491128
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Framework of Computer Aided Diagnosis Systems for Cancer Classification Based on Medical Images.
    El Houby EMF
    J Med Syst; 2018 Jul; 42(8):157. PubMed ID: 29995204
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dynamic partial reconfiguration implementation of the SVM/KNN multi-classifier on FPGA for bioinformatics application.
    Hussain HM; Benkrid K; Seker H
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():7667-70. PubMed ID: 26738068
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The construction of support vector machine classifier using the firefly algorithm.
    Chao CF; Horng MH
    Comput Intell Neurosci; 2015; 2015():212719. PubMed ID: 25802511
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Novel cascade FPGA accelerator for support vector machines classification.
    Papadonikolakis M; Bouganis CS
    IEEE Trans Neural Netw Learn Syst; 2012 Jul; 23(7):1040-52. PubMed ID: 24807131
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel cumulative level difference mean based GLDM and modified ABCD features ranked using eigenvector centrality approach for four skin lesion types classification.
    Wahba MA; Ashour AS; Guo Y; Napoleon SA; Elnaby MMA
    Comput Methods Programs Biomed; 2018 Oct; 165():163-174. PubMed ID: 30337071
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.