EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 341 (2025) EPJ Web Conf., 341 (2025) 01017 References
Open Access
Issue
EPJ Web Conf.
Volume 341, 2025
2nd International Conference on Advent Trends in Computational Intelligence and Communication Technologies (ICATCICT 2025)
Article Number 01017
Number of page(s) 11
DOI https://doi.org/10.1051/epjconf/202534101017
Published online 20 November 2025
  1. F. Ahmmed, M.Z. Raihan, K. Nahar, D.M. Asadujjaman, M.M. Rahman, A. Tamim, Skin disease detection and classification of actinic keratosis and psoriasis utilizing deep transfer learning. arXiv preprint arXiv:2501.13713 (2025) [Google Scholar]
  2. A.M. Ibrahim, M. Elbasheir, S. Badawi, A. Mohammed, A.F. Mohammed Alalmin, Skin cancer classification using transfer learning by VGG16 architecture: Case study on Kaggle dataset. J. Intell. Learn. Syst. Appl. 15, 67-75 (2023) [Google Scholar]
  3. G. Singh, K. Guleria, S. Sharma, A transfer learning-based pre-trained VGG16 model for skin disease classification, in Proc. IEEE MysuruCon (2023) [Google Scholar]
  4. J.S. Velasco, J.V. Catipon, E.G. Monilar, V.M. Amon, G.C. Virrey, L.K. Tolentino, Classification of skin disease using transfer learning in convolutional neural networks. Int. J. Emerg. Technol. Adv. Eng. 13, 123-129 (2023) [Google Scholar]
  5. K. Saranya, S. Vijayashaarathi, N. Sasirekha, M. Rishika, P.S.R. Rajeswari, Skin disease detection using CNN, in Proc. Int. Conf. Design Eng. Comput. Sci. (2024) [Google Scholar]
  6. J. Kaur, A.K. Gupta, A.K. Rout, A. Chaudhary, A. Singh, Comparative analysis and detection of skin lesions using transfer learning, in Proc. 10th Int. Conf. Adv. Comput. Commun. Syst. (ICACCS) (2024) [Google Scholar]
  7. C. Chakraborty, U. Achar, S. Nayek, A. Achar, R. Mukherjee, CAD-PsorNet: Deep transfer learning for computer-assisted diagnosis of psoriasis. Sci. Rep. 14, 26557 (2024) [Google Scholar]
  8. K. Thomsen, A.L. Christensen, L. Iversen, H. Lomholt, O. Winther, Deep learning for diagnostic binary classification of multiple-lesion skin diseases. Front. Med. 7, 574329 (2020). [Google Scholar]
  9. A.K. Sah, S. Bhusal, S. Amatya, M. Mainali, S. Shakya, Dermatological diseases classification using image processing and DNN, in Proc. Int. Conf. Comput. Commun. Intell. Syst. (ICCCIS) (2019) [Google Scholar]
  10. M. Nieniewski, L. Chmielewski, S. Patrzyk, A. Wozniacka, Differentiating psoriasis from other dermatoses using transfer learning. EURASIP J. Image Video Process. 10 (2023) [Google Scholar]
  11. H.C. Venkataiah, T.J. Prasad, G. Gopinath, B. Charitha, G.D. Teja, B.L. Reddy, CNN and transfer learning for enhanced dermatological disease detection. Int. J. Electron. Telecommun. 71, 45-52 (2025) [Google Scholar]
  12. A. Faghihi, M. Fathollahi, R. Rajabi, Diagnosis of skin cancer using VGG16 and VGG19 models. Multimed. Tools Appl. 82, 12345-12358 (2023) [Google Scholar]
  13. M. Gupta, R. Kumar, N. Nandan, A.K. Pradhan, A.J. Obaid, Skin disease detection using neural networks, in Proc. Int. Conf. Adv. Smart Secure Intell. Comput. (ASSIC) (2024) [Google Scholar]
  14. N. Amin, M. Farooq, Automated psoriasis detection using deep learning. VFAST Trans. Softw. Eng. 10, 15-22 (2021) [Google Scholar]
  15. M.A.H. Islam, S.M. Shahriyar, M.J. Alam, M. Rahman, M.R. Kabir, R. Sarker, Skin disease detection employing fine-tuned VGG-19. Indones. J. Electr. Eng. Comput. Sci. 22, 123-130 (2023) [Google Scholar]
  16. S. Javaid, M.T. Ubaid, Skin disease detection using transfer learning, in Proc. Int. Conf. Artif. Intell. Mach. Learn. (AIML) (2024) [Google Scholar]
  17. M. Hammad, P. Plawiak, M.A. El-Affendi, A. El-Latif, A.A.A. Latif, Deep learning for accurate eczema and psoriasis detection. J. Med. Imaging Health Inform. 13, 1123-1130 (2023) [Google Scholar]
  18. E. Goceri, A. Karakas,, Comparative evaluations of CNN-based networks for skin lesion classification. J. Med. Syst. 44, 115 (2020) [Google Scholar]
  19. H. Janoria, J. Minj, P. Patre, Classification of skin disease from skin images using transfer learning technique, in Proc. Int. Conf. Data Eng. Commun. Syst. (ICDECS), Bangalore, India (2024) [Google Scholar]
  20. S. Choy et al., Systematic review of deep learning image analyses for the diagnosis and monitoring of skin disease. npj Digit. Med. 6, 41 (2023) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.