Preprint

·2023 OPEN ACCESS

Assessment of Perfusion MRI Features in Predicting Hifu Ablation Outcome for Uterine Fibroids: Uncovering Patterns Through Machine Learning

Bilgin Keserci YTU , Toygar Tanyel YTU , Emine Akpinar YTU , Serhat Ünalan YTU , Erdem Hasanefendioğlu , Arif Selimhan Çetinkale YTU , Mehmet Kutalmış Topkaraoğlu YTU , Celal Keserci YTU , Nadarajan Chandran , Nguyễn Minh Đức

SSRN Electronic Journal

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Ablation Uterine fibroids Perfusion Outcome (game theory) Medicine Radiology Computer science Internal medicine Surgery Mathematics

Subject Areas

Uterine Myomas and Treatments ·Obstetrics and Gynecology ·Health Sciences
Ultrasound and Hyperthermia Applications ·Biomedical Engineering ·Physical Sciences

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Zero hunger 70%