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Learning to read x-ray: applications to heart failure monitoring

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If you have a question about this talk, please contact Paula Smith .

We propose and demonstrate a novel approach to training image classification models based on large collections of images with limited labels. We take advantage of availability of radiology reports to construct joint multimodal embedding that serves as a basis for classification. We demonstrate the advantages of this approach in application to assessment of pulmonary edema severity in congestive heart failure that motivated the development of the method.

This talk is part of the CMIH Hub seminar series series.

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https://dtudk.zoom.us/j/63952790964 Zoom and will be lived streamed in the Dept of Chemistry, Wolfson Lecture Theatre Judge Business School - Room W4.03

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