BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

336 related articles for article (PubMed ID: 32882594)

  • 1. The effects of skin lesion segmentation on the performance of dermatoscopic image classification.
    Mahbod A; Tschandl P; Langs G; Ecker R; Ellinger I
    Comput Methods Programs Biomed; 2020 Dec; 197():105725. PubMed ID: 32882594
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Domain-specific classification-pretrained fully convolutional network encoders for skin lesion segmentation.
    Tschandl P; Sinz C; Kittler H
    Comput Biol Med; 2019 Jan; 104():111-116. PubMed ID: 30471461
    [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. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study.
    Maron RC; Hekler A; Krieghoff-Henning E; Schmitt M; Schlager JG; Utikal JS; Brinker TJ
    J Med Internet Res; 2021 Mar; 23(3):e21695. PubMed ID: 33764307
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DSNet: Automatic dermoscopic skin lesion segmentation.
    Hasan MK; Dahal L; Samarakoon PN; Tushar FI; Martí R
    Comput Biol Med; 2020 May; 120():103738. PubMed ID: 32421644
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
    Mahbod A; Schaefer G; Wang C; Dorffner G; Ecker R; Ellinger I
    Comput Methods Programs Biomed; 2020 Sep; 193():105475. PubMed ID: 32268255
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. A GAN-based image synthesis method for skin lesion classification.
    Qin Z; Liu Z; Zhu P; Xue Y
    Comput Methods Programs Biomed; 2020 Oct; 195():105568. PubMed ID: 32526536
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Melanoma diagnosis using deep learning techniques on dermatoscopic images.
    Jojoa Acosta MF; Caballero Tovar LY; Garcia-Zapirain MB; Percybrooks WS
    BMC Med Imaging; 2021 Jan; 21(1):6. PubMed ID: 33407213
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Rethinking Skin Lesion Segmentation in a Convolutional Classifier.
    Burdick J; Marques O; Weinthal J; Furht B
    J Digit Imaging; 2018 Aug; 31(4):435-440. PubMed ID: 29047032
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Role of In Vivo Reflectance Confocal Microscopy in the Analysis of Melanocytic Lesions.
    Serban ED; Farnetani F; Pellacani G; Constantin MM
    Acta Dermatovenerol Croat; 2018 Apr; 26(1):64-67. PubMed ID: 29782304
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Skin Lesion Analysis By Multi-Target Deep Neural Networks.
    Yang X; Li H; Wang L; Yeo SY; Su Y; Zeng Z
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1263-1266. PubMed ID: 30440620
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things.
    Akram A; Rashid J; Jaffar MA; Faheem M; Amin RU
    Skin Res Technol; 2023 Nov; 29(11):e13524. PubMed ID: 38009016
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.