BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

357 related articles for article (PubMed ID: 34450993)

  • 1. Computer-Aided Diagnosis Algorithm for Classification of Malignant Melanoma Using Deep Neural Networks.
    Kim CI; Hwang SM; Park EB; Won CH; Lee JH
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450993
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Fusing fine-tuned deep features for skin lesion classification.
    Mahbod A; Schaefer G; Ellinger I; Ecker R; Pitiot A; Wang C
    Comput Med Imaging Graph; 2019 Jan; 71():19-29. PubMed ID: 30458354
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images.
    R K; H G; R S
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1524-1527. PubMed ID: 33018281
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
    Baig R; Bibi M; Hamid A; Kausar S; Khalid S
    Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Segmentation of dermoscopy images based on deformable 3D convolution and ResU-NeXt +.
    Zhao C; Shuai R; Ma L; Liu W; Wu M
    Med Biol Eng Comput; 2021 Sep; 59(9):1815-1832. PubMed ID: 34304370
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model.
    Xie F; Fan H; Li Y; Jiang Z; Meng R; Bovik A
    IEEE Trans Med Imaging; 2017 Mar; 36(3):849-858. PubMed ID: 27913337
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images.
    Kaur R; GholamHosseini H; Sinha R; Lindén M
    Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35161878
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computer Aided Diagnosis of Melanoma Using Deep Neural Networks and Game Theory: Application on Dermoscopic Images of Skin Lesions.
    Foahom Gouabou AC; Collenne J; Monnier J; Iguernaissi R; Damoiseaux JL; Moudafi A; Merad D
    Int J Mol Sci; 2022 Nov; 23(22):. PubMed ID: 36430315
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Skin Cancer Classification Using Deep Spiking Neural Network.
    Qasim Gilani S; Syed T; Umair M; Marques O
    J Digit Imaging; 2023 Jun; 36(3):1137-1147. PubMed ID: 36690775
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
    Al-Masni MA; Kim DH; Kim TS
    Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.
    Xie Y; Zhang J; Xia Y; Shen C
    IEEE Trans Med Imaging; 2020 Jul; 39(7):2482-2493. PubMed ID: 32070946
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.
    Maron RC; Weichenthal M; Utikal JS; Hekler A; Berking C; Hauschild A; Enk AH; Haferkamp S; Klode J; Schadendorf D; Jansen P; Holland-Letz T; Schilling B; von Kalle C; Fröhling S; Gaiser MR; Hartmann D; Gesierich A; Kähler KC; Wehkamp U; Karoglan A; Bär C; Brinker TJ;
    Eur J Cancer; 2019 Sep; 119():57-65. PubMed ID: 31419752
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.
    Kaur R; GholamHosseini H; Sinha R; Lindén M
    BMC Med Imaging; 2022 May; 22(1):103. PubMed ID: 35644612
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.