LXM04a-22 Federated Learning with Medical Image

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QUADEER, Ahmed Abdul
January 18, 2023 5:00 pm

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?

GUO, Jiarong
January 18, 2023 5:30 pm

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

KI, Wing Hung
January 18, 2023 4:47 pm

Could we talk over zoom on your poster?

GUO, Jiarong
January 18, 2023 5:27 pm
Reply to  KI, Wing Hung

Sure

GUO, Jiarong
January 18, 2023 5:35 pm
Reply to  KI, Wing Hung

You can join my zoom at 889 958 3534

KI, Wing Hung
January 18, 2023 4:46 pm

Is there any description of the poster?

GUO, Jiarong
January 18, 2023 5:32 pm
Reply to  KI, Wing Hung

1. We show our data of federated learning usage.
2. We introduce our network architecture .
3. We show our performance comparing with other frameworks.

GUO, Jiarong
January 18, 2023 2:11 pm

Some of the famous & interesting datasets.

Chest: https://nihcc.app.box.com/v/ChestXray-NIHCC
http://www.via.cornell.edu/crpf.html

YANG, Jingwen
January 18, 2023 3:32 pm
Reply to  GUO, Jiarong

Very inspiring dataset.

CAI, Yuxiang
January 18, 2023 5:19 pm
Reply to  GUO, Jiarong

This is one of the best projects I have ever seen today. The student should be very promnent.