Learning to read x-ray: applications to heart failure monitoring
Add to your list(s)
Download to your calendar using vCal
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.
This talk is included in these lists:
Note that ex-directory lists are not shown.
|