| Title | Optimization of Ablation Area and Electrode Positioning in High Frequency Irreversible Electroporation via Machine Learning |
|---|---|
| Publication Type | Presentazione a Congresso |
| Year of Publication | 2023 |
| Authors | De Cillis, Alfredo, Merla Caterina, Monti Giuseppina, Tarricone Luciano, and Zappatore Marco |
| Conference Name | 2023 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Abstract | The adoption of high-frequency irreversible electroporation in oncology opens new perspectives in terms of types of treatable tumours, and treatment effectiveness. Nevertheless, a large number of parameters can influence the efficiency of this procedure. In this paper, we present a machine-learning strategies (more specifically artificial neural networks) as an appropriate approach to predict the ablation area and some electrode characteristics, thus possibly rendering final electroporation results superior, and achievable in a reduced time. © 2023 IEEE. |
| URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179129205&doi=10.1109%2fIMBioC56839.2023.10305123&partnerID=40&md5=65c6443c2795cbd1952e3f686fbd16c4 |
| DOI | 10.1109/IMBioC56839.2023.10305123 |
| Citation Key | De Cillis2023 |
