BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

509 related articles for article (PubMed ID: 30527129)

  • 1. Segmentation of skin lesions in dermoscopy images using fuzzy classification of pixels and histogram thresholding.
    Garcia-Arroyo JL; Garcia-Zapirain B
    Comput Methods Programs Biomed; 2019 Jan; 168():11-19. PubMed ID: 30527129
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
    Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
    Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
    Al-Masni MA; Al-Antari MA; Choi MT; Han SM; Kim TS
    Comput Methods Programs Biomed; 2018 Aug; 162():221-231. PubMed ID: 29903489
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
    Bi L; Kim J; Ahn E; Kumar A; Fulham M; Feng D
    IEEE Trans Biomed Eng; 2017 Sep; 64(9):2065-2074. PubMed ID: 28600236
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Melanoma recognition in dermoscopy images using lesion's peripheral region information.
    Tajeddin NZ; Asl BM
    Comput Methods Programs Biomed; 2018 Sep; 163():143-153. PubMed ID: 30119849
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic lesion border selection in dermoscopy images using morphology and color features.
    Mishra NK; Kaur R; Kasmi R; Hagerty JR; LeAnder R; Stanley RJ; Moss RH; Stoecker WV
    Skin Res Technol; 2019 Jul; 25(4):544-552. PubMed ID: 30868667
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Skin lesion classification with ensembles of deep convolutional neural networks.
    Harangi B
    J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.
    Nida N; Irtaza A; Javed A; Yousaf MH; Mahmood MT
    Int J Med Inform; 2019 Apr; 124():37-48. PubMed ID: 30784425
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hair detection and lesion segmentation in dermoscopic images using domain knowledge.
    Pathan S; Prabhu KG; Siddalingaswamy PC
    Med Biol Eng Comput; 2018 Nov; 56(11):2051-2065. PubMed ID: 29761315
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images.
    Abbas Q; Garcia IF; Emre Celebi M; Ahmad W; Mushtaq Q
    Skin Res Technol; 2013 Feb; 19(1):e490-7. PubMed ID: 22882675
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Border detection in dermoscopy images using hybrid thresholding on optimized color channels.
    Garnavi R; Aldeen M; Celebi ME; Varigos G; Finch S
    Comput Med Imaging Graph; 2011 Mar; 35(2):105-15. PubMed ID: 20832992
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-scale classification based lesion segmentation for dermoscopic images.
    Abedini M; Codella N; Chakravorty R; Garnavi R; Gutman D; Helba B; Smith JR
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1361-1364. PubMed ID: 28268578
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features.
    Kawahara J; Hamarneh G
    IEEE J Biomed Health Inform; 2019 Mar; 23(2):578-585. PubMed ID: 29994053
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A feature-preserving hair removal algorithm for dermoscopy images.
    Abbas Q; Garcia IF; Emre Celebi M; Ahmad W
    Skin Res Technol; 2013 Feb; 19(1):e27-36. PubMed ID: 22211360
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms.
    Alsaade FW; Aldhyani THH; Al-Adhaileh MH
    Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.
    Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A
    Comput Methods Programs Biomed; 2019 Aug; 177():17-30. PubMed ID: 31319945
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes.
    Erkol B; Moss RH; Stanley RJ; Stoecker WV; Hvatum E
    Skin Res Technol; 2005 Feb; 11(1):17-26. PubMed ID: 15691255
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Thresholding methods for lesion segmentation of basal cell carcinoma in dermoscopy images.
    Kaur R; LeAnder R; Mishra NK; Hagerty JR; Kasmi R; Stanley RJ; Celebi ME; Stoecker WV
    Skin Res Technol; 2017 Aug; 23(3):416-428. PubMed ID: 27892649
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Density-based parallel skin lesion border detection with webCL.
    Lemon J; Kockara S; Halic T; Mete M
    BMC Bioinformatics; 2015; 16 Suppl 13(Suppl 13):S5. PubMed ID: 26423836
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 26.