Open Access
| Issue |
E3S Web Conf.
Volume 448, 2023
The 8th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2023)
|
|
|---|---|---|
| Article Number | 02052 | |
| Number of page(s) | 10 | |
| Section | Information System | |
| DOI | https://doi.org/10.1051/e3sconf/202344802052 | |
| Published online | 17 November 2023 | |
- R. A. A. S. H. Putri, M. I. Ilmiawan, Darmawan, Faktor-faktor yang Berhubungan dengan Kejadian Osteoarthritis Lutut pada Petani di Desa Bhakti Mulya Kecamatan Bengkayang, Jurnal Kedokteran dan Kesehatan 18(1): 1 – 15, 2022. [CrossRef] [Google Scholar]
- L. S. Lee, P. K. Chan, W. C. Fung, V. W. K. Chan, C. H. Yan, K. Y. Chiu, Imaging of knee osteoarthritis: A review of current evidence and clinical guidelines, Musculoskeletal Care 19(3): 63 – 74, 2021. [Google Scholar]
- L. Shamir, S. M. Ling, W. Scott, M. Hochberg, L. Ferruci, I. G. Goldberg, Early detection of radiographic knee osteoarthritis using computer-aided analysis. Osteoarthr Cartil 17(10):1307–12, 2009. [CrossRef] [Google Scholar]
- J. Moolayil, Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python, John CS editor, Learn Keras for Deep Neural Networks,Vancouver: Apress 182, 2019. [CrossRef] [Google Scholar]
- P. Sitompul, H. Okprana, A. Prasetio, G. Artikel, Identifikasi Penyakit Tanaman Padi Melalui Citra Daun Menggunakan DenseNet 201 Identification of Rice Plant Diseases Through Leaf Image Using DenseNet 201. JOMLAI J Mach Learn Artif Intell 1(2):143–50, 2022. [Google Scholar]
- A. Tiwari, M. Poduval, V. Bagaria. Evaluation of artificial intelligence models for osteoarthritis of the knee using deep learning algorithms for orthopedic radiographs, World J Orthop 13(6):603–14, 2022. [CrossRef] [PubMed] [Google Scholar]
- S. M. Ahmed, R. J. Mstafa, Identifying Severity Grading of Knee Osteoarthritis from X-ray Images Using an Efficient Mixture of Deep Learning and Machine Learning Models. Diagnostics 12(12):1–27, 2022. [Google Scholar]
- D. H. Kim, K. J. Lee, D. Choi, J. I. Lee, H. G. Choi, Y. S. Lee, Can additional patient information improve the diagnostic performance of deep learning for the interpretation of knee osteoarthritis severity, J Clin Med 9(10):1–12, 2020 [Google Scholar]
- A. Bhandari, Everything you Should Know about Confusion Matrix for Machine Learning, Anal Vidhya. 2022. [Google Scholar]
- S. V. Chaugule, V. S. Malemath, Osteoarthritis Grading Using DenseNet and Radiographic Images. SN Comput Sci, 4(1):1–7, 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.