Makine Öğrenmesi Yöntemi ile Karaciğerde Oluşan Hastalıkların Tahmini
Öz
Anahtar Kelimeler
Kaynakça
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- Khalifa, NEM., Taha, MHN., Ali, DE., Slowik, A., & Hassanien, AE. Artificial intelligence technique for gene expression by tumor RNA-Seq data: a novel optimized deep learning approach. IEEE, (2020); 8, 22874-22883.
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- Yao, Z., Li, J., Guan, Z., Ye, Y., & Chen, Y. Liver disease screening based on densely connected deep neural networks. Neural Networks, (2020); 123, 299-304.
- Guo, X., Wang, F., Teodoro, G., Farris, A. B., & Kong, J.. Liver steatosis segmentation with deep learning methods. In 2019 IEEE 16th International Symposium on Biomedical Imaging (2019); (pp. 24-27). IEEE.
- Byra, M., Styczynski, G., Szmigielski, C., Kalinowski, P., Michalowski, L., Paluszkiewicz, R.,& Nowicki, A. Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method. In 2020 IEEE International Ultrasonics Symposium (IUS) (2020, September); (pp. 1-4). IEEE.
- Yamakawa, M., Shiina, T., Nishida, N., & Kudo, M. Computer aided diagnosis system developed for ultrasound diagnosis of liver lesions using deep learning. In 2019 IEEE International Ultrasonics Symposium (IUS) . (2019, October); (pp. 2330-2333). IEEE.
- Li, Y., He, Q., & Luo, J. A deep learning trial on transient elastography for assessment of liver fibrosis. In 2018 IEEE International Ultrasonics Symposium (IUS) (2018, October); (pp. 1-4). IEEE.
Ayrıntılar
Birincil Dil
Türkçe
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Mustafa Teke
*
0000-0002-7262-4918
Türkiye
Yayımlanma Tarihi
30 Haziran 2022
Gönderilme Tarihi
21 Nisan 2022
Kabul Tarihi
8 Haziran 2022
Yayımlandığı Sayı
Yıl 2022 Cilt: 5 Sayı: 1
Cited By
Y90 Radyoembolizasyon Tedavisinde Makine Öğrenmesi ile Aktivite Tahmini
Fırat Üniversitesi Mühendislik Bilimleri Dergisi
https://doi.org/10.35234/fumbd.1162466
