Open Access
Issue
E3S Web Conf.
Volume 484, 2024
The 4th Faculty of Industrial Technology International Congress: Development of Multidisciplinary Science and Engineering for Enhancing Innovation and Reputation (FoITIC 2023)
Article Number 02010
Number of page(s) 9
Section Information System And Technology Advancement
DOI https://doi.org/10.1051/e3sconf/202448402010
Published online 07 February 2024
  1. G. J. Fernandez, “SISTEM PERNAFASAN, ” FAKULTAS KEDOKTERAN UNIVERSITAS UDAYANA (2017) [Google Scholar]
  2. C. Wang, D. Chen, L. Hao, X. Liu, Y. Zeng, J. Chen and G. Zhang, “Pulmonary image classification based on inception-v3 transfer learning model, ” IEEE Access, vol. 7, p. 146533–146541 (2019) [CrossRef] [Google Scholar]
  3. P. Pratama, R. Teguh, A. Sahay and V. Wilentine, “Deteksi COVID-19 Berdasarkan Hasil Rontgen Dada (Chest Xray) Menggunakan Python, ” JOINTECOMS (Journal of Information Technology and Computer Science), pp. 58-67 (2021) [CrossRef] [Google Scholar]
  4. N. Dominic, Daniel, T. W. Cenggoro and A. Budiarto, “TRANSFER LEARNING USING INCEPTION-RESNET-V2 MODEL TO THE AUGMENTED NEUROIMAGES DATA FOR AUTISM SPECTRUM DISORDER CLASSIFICATION, ” Computer Science Department, BINUS Graduate Program Master of Computer Science Program (2021) [Google Scholar]
  5. V. D. Nguyen, N. D. Bui and H. K. Do, “Skin Lesion Classification on Imbalanced Data Using Deep Learning with Soft Attention, ” Sensors 2022 (2022) [Google Scholar]
  6. C. M. Sharma, L. Goyal, V. M. Chariar and N. Sharma, “Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing, ” Journal of Healthcare Engineering (2022) [Google Scholar]
  7. A. K. Gangwar and V. Ravi, “Diabetic Retinopathy Detection Using Transfer Learning and Deep Learning, ” Springer (2020) [Google Scholar]
  8. C. Szegedy, S. Loffe, V. Vanhoucke and A. A. Alemi, “Inception-v4, inception-ResNet and the impact of residual connections on learning, ” 31st AAAI Conference on Artificial Intelligence, AAAI 2017, p. 4278–4284 (2017) [Google Scholar]
  9. S. Mutmainah, “PENANGANAN IMBALANCE DATA PADA KLASIFIKASI KEMUNGKINAN PENYAKIT STROKE, ” Jurnal SNATi, pp. 10-16, (2021) [Google Scholar]
  10. A. S. &. A. Subekti, “Penerapan Metode Random Over-Under Sampling dan Random Forest Untuk Klasifikasi Penilaian Kredit, ” Jurnal Informatika, pp. 175-185 (2018) [Google Scholar]

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