Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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8.1K Views

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04:09 min

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October 10th, 2018

DOI :

10.3791/58382-v

October 10th, 2018

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Aaron Abajian¹, Nikitha Murali¹, Lynn Jeanette Savic¹^,², Fabian Max Laage-Gaupp¹, Nariman Nezami¹, James S. Duncan³, Todd Schlachter¹, MingDe Lin⁴, Jean-François Geschwind⁵, Julius Chapiro¹

¹Department of Radiology and Biomedical Imaging, Yale School of Medicine, ²Department of Diagnostic and Interventional Radiology, Universitätsmedizin Charité Berlin, ³Department of Biomedical Engineering, Yale School of Engineering and Applied Science, ⁴Philips Research North America, ⁵Prescience Labs

Podsumowanie

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Keywords Machine Learning

Image guided Therapy

Hepatocellular Carcinoma

Trans arterial Treatment

Rozdziały w tym wideo

0:04

Title

0:59

Structured Clinical Data Feature Extraction, Aggregation, and Reduction

3:01

Results: Machine Learning Algorithm Performance

3:45

Conclusion

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