Difference between revisions of "Predicting Blood Pressure from the retina using Deep Learning"
(→Background and Motivation) |
(→Deep Learning Model) |
||
| Line 11: | Line 11: | ||
== Deep Learning Model == | == Deep Learning Model == | ||
| − | This section focused on using the previously defined Delta variable to sort the images used as input for the classifier. | + | This section focused on using the previously defined Delta variable to sort the images used as input for the classifier. A CNN model was built by the CBG to predict hypertension from retina fundus images. We wished to improve the predictions by reducing technical error in the input images. |
== GWAS == | == GWAS == | ||
Revision as of 11:48, 5 June 2022
File:Retina DNN analysis Alex.pdf
Retina Image Analysis
Background and Motivation
Intro content...
<math> \delta = \frac{|L-R|}{L+R} </math>
Deep Learning Model
This section focused on using the previously defined Delta variable to sort the images used as input for the classifier. A CNN model was built by the CBG to predict hypertension from retina fundus images. We wished to improve the predictions by reducing technical error in the input images.
