Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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04:09 min
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October 10th, 2018
DOI :
October 10th, 2018
•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
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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