1. Why is federated learning useful for bone reconstruction specifically?
2. What training and testing data are you using for your model? And is it rich enough for addressing your problem?
1. There are plenty of hospitals depended among different kinds peoples and they have varying different knee bones in body. Although the rough structure are same, the details are not the same.
2. The medical data are always not enough. So I corporate with companies to help me to label the data
1. We show our data of federated learning usage.
2. We introduce our network architecture .
3. We show our performance comparing with other frameworks.
Hi, I have a couple of questions:
1. Why is federated learning useful for bone reconstruction specifically?
2. What training and testing data are you using for your model? And is it rich enough for addressing your problem?
1. There are plenty of hospitals depended among different kinds peoples and they have varying different knee bones in body. Although the rough structure are same, the details are not the same.
2. The medical data are always not enough. So I corporate with companies to help me to label the data
Could we talk over zoom on your poster?
Sure
You can join my zoom at 889 958 3534
Is there any description of the poster?
1. We show our data of federated learning usage.
2. We introduce our network architecture .
3. We show our performance comparing with other frameworks.
Some of the famous & interesting datasets.
Chest: https://nihcc.app.box.com/v/ChestXray-NIHCC
http://www.via.cornell.edu/crpf.html
Very inspiring dataset.
This is one of the best projects I have ever seen today. The student should be very promnent.