CardioCNN: Transplant to Healthy

Welcome to CardioCNN: Transplant to Healthy

Your job is to find the most efficient way possible of curing Cardiomegaly!

Explanatory GIF

You have two x-rays, on the left a healthy donor, on the right the patient awaiting transplant.

Instructional GIF

Move the slider to increase or decrease the segmentation size of both x-rays.

Segmentation GIF

Once you've reached a segmentation size you think is right, first select the section you wish to extract from the healthy donor. Then select the section you wish to transplant it to in the patient with cardiomegaly.

Final Instructions GIF

Once you've selected both sections for transplant, click the transplant button. If the result is (enter correct result here) you've successfully treated the patient!

Current Score (lowest wins):


              
              
                

              
            

            

            
Current Prediction (must be above 50)

            

            

            

          

          

          

            
            

              
Cardiomegaly

              
Cardiomegaly is an enlargement of the heart. It can be caused by various conditions such as high blood pressure, heart valve disease, or cardiomyopathy.

              
Convolutional Neural Networks

              
Convolutional Neural Networks (CNNs) are a class of deep learning algorithms that are particularly effective for image classification tasks. They can be used in medical imaging to detect conditions like cardiomegaly from X-ray or MRI images.

              
Method

              
The method works in three steps:

              
a Segmentation via superpixels

              
b Transplant segments via morphmix

              
c Predict on new image via CNN

              
Task

              
Your task is transplant from cardiomegaly to healthy using smallest possible area

              
Credits:

              
Nightingale Team Data Mining JGU, Grace Guo, Stanford (Morphmix), Lampros x (Superpixels)