Northwestern University

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Monitoring Ablation Therapy Using Ensemble Learning Models

Description:

Radiofrequency ablation is a minimally-invasive treatment method that aims to destroy undesired tissue by exposing it to alternating current in the 100 kHz to 800 kHz frequency range and heating it until it is destroyed via coagulative necrosis. Ablation treatment is gaining momentum especially in cancer research, where the undesired...

Keyword:

Ensemble Learning, Integrated Circuit, Cancer Therapy, Hardware Design, Machine Learning, and Ablation

Subject:

Artificial intelligence, Electrical engineering, and Biomedical engineering

Creator:

Besler, Emre

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

04/15/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_786973 and http://dissertations.umi.com/northwestern:15432