AKPINAR, E. Et Al. 2022. Role of machine learning algorithms in predicting the treatment outcome of uterine fibroids using high-intensity focused ultrasound ablation with an immediate nonperfused volume ratio of at least 90%. European Review for Medical and Pharmacological Sciences , vol.26, no.22 , 8376-8394.

AKPINAR, E., BAYRAK, O. C., Nadarajan, C., MÜSLÜMANOĞLU, M. H., Nguyen, M., & Keserci, B., (2022). Role of machine learning algorithms in predicting the treatment outcome of uterine fibroids using high-intensity focused ultrasound ablation with an immediate nonperfused volume ratio of at least 90%. European Review for Medical and Pharmacological Sciences , vol.26, no.22, 8376-8394.

AKPINAR, Emin Et Al. "Role of machine learning algorithms in predicting the treatment outcome of uterine fibroids using high-intensity focused ultrasound ablation with an immediate nonperfused volume ratio of at least 90%," European Review for Medical and Pharmacological Sciences , vol.26, no.22, 8376-8394, 2022

AKPINAR, Emin Et Al. "Role of machine learning algorithms in predicting the treatment outcome of uterine fibroids using high-intensity focused ultrasound ablation with an immediate nonperfused volume ratio of at least 90%." European Review for Medical and Pharmacological Sciences , vol.26, no.22, pp.8376-8394, 2022

AKPINAR, E. Et Al. (2022) . "Role of machine learning algorithms in predicting the treatment outcome of uterine fibroids using high-intensity focused ultrasound ablation with an immediate nonperfused volume ratio of at least 90%." European Review for Medical and Pharmacological Sciences , vol.26, no.22, pp.8376-8394.

@article{article, author={Emin AKPINAR Et Al. }, title={Role of machine learning algorithms in predicting the treatment outcome of uterine fibroids using high-intensity focused ultrasound ablation with an immediate nonperfused volume ratio of at least 90%}, journal={European Review for Medical and Pharmacological Sciences}, year=2022, pages={8376-8394} }