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Using Hierarchy label classification to Chest X-ray images

Principal Investigator
Name
Gregory Hager
Degrees
Ph.D.
Institution
Johns Hopkins University
Position Title
Professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-384
Initial CDAS Request Approval
Jul 20, 2018
Title
Using Hierarchy label classification to Chest X-ray images
Summary
Because chest diseases often has relationship with each other, I want to compare the result of hierarchy classification with flat classification on chest x-ray to see whether a relationship-cared tree label can get better results.
Aims

I aim to use both PLCO dataset and ChestX-ray dataset created by Xiaosong to get better results.

Because I used tree-based label, it will learn patterns instead of specific labels more. So it can reduce the influence of variance of radiologists.

I want to get better performance on Chest X-ray classification.

Collaborators

Haomin Chen, Johns Hopkins University

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