These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 33904008)

  • 1. A new preprocessing approach to improve the performance of CNN-based skin lesion classification.
    Zanddizari H; Nguyen N; Zeinali B; Chang JM
    Med Biol Eng Comput; 2021 May; 59(5):1123-1131. PubMed ID: 33904008
    [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. 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]  

  • 4. 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]  

  • 5. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
    Tang P; Liang Q; Yan X; Xiang S; Zhang D
    IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic skin lesion classification based on mid-level feature learning.
    Liu L; Mou L; Zhu XX; Mandal M
    Comput Med Imaging Graph; 2020 Sep; 84():101765. PubMed ID: 32810817
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network.
    Li Y; Shen L
    Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29439500
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dermoscopy lesion classification based on GANs and a fuzzy rank-based ensemble of CNN models.
    Li H; Li W; Chang J; Zhou L; Luo J; Guo Y
    Phys Med Biol; 2022 Sep; 67(18):. PubMed ID: 35985337
    [No Abstract]   [Full Text] [Related]  

  • 9. 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]  

  • 10. Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models.
    Alshahrani M; Al-Jabbar M; Senan EM; Ahmed IA; Mohammed Saif JA
    PLoS One; 2024; 19(3):e0298305. PubMed ID: 38512890
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Melanoma detection by analysis of clinical images using convolutional neural network.
    Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SM; Jafari MH; Ward K; Najarian K
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1373-1376. PubMed ID: 28268581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Skin lesion segmentation using high-resolution convolutional neural network.
    Xie F; Yang J; Liu J; Jiang Z; Zheng Y; Wang Y
    Comput Methods Programs Biomed; 2020 Apr; 186():105241. PubMed ID: 31837637
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic skin lesion classification using a new densely connected convolutional network with an SF module.
    Shan P; Fu C; Dai L; Jia T; Tie M; Liu J
    Med Biol Eng Comput; 2022 Aug; 60(8):2173-2188. PubMed ID: 35639329
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Attention Residual Learning for Skin Lesion Classification.
    Zhang J; Xie Y; Xia Y; Shen C
    IEEE Trans Med Imaging; 2019 Sep; 38(9):2092-2103. PubMed ID: 30668469
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks.
    Yu L; Chen H; Dou Q; Qin J; Heng PA
    IEEE Trans Med Imaging; 2017 Apr; 36(4):994-1004. PubMed ID: 28026754
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated Prediction of Malignant Melanoma using Two-Stage Convolutional Neural Network.
    Angeline J; Siva Kailash A; Karthikeyan J; Karthika R; Saravanan V
    Arch Dermatol Res; 2024 May; 316(6):275. PubMed ID: 38796546
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.