Real-time monitoring radiofrequency ablation using tree-based ensemble learning models
Background: Radiofrequency ablation is a minimally-invasive treatment method that aims to destroy undesired tissue by exposing it to alternating current in the 100 kHz–800 kHz frequency range and heating it until it is destroyed via coagulative necrosis. Ablation treatment is gaining momentum especi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-01-01
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| Series: | International Journal of Hyperthermia |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/02656736.2019.1587008 |