[MISC] Federated Chest X-ray Screening #1819
Draft
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
updated gitignore Added download script, plot_diagram, removed code repetition
…est_export.py Co-authored-by: Rakshith Sathish <[email protected]>
…est_inference.py Co-authored-by: Rakshith Sathish <[email protected]>
…est_train.py Co-authored-by: Rakshith Sathish <[email protected]>
Updating the directory
Updating loss function to take weights from json file
…ils/inference_utils.py Co-authored-by: Rakshith Sathish <[email protected]>
…ils/model.py Co-authored-by: Rakshith Sathish <[email protected]>
…ils/model.py Co-authored-by: Rakshith Sathish <[email protected]>
…ils/train_utils.py Co-authored-by: Rakshith Sathish <[email protected]>
…ils/train_utils.py Co-authored-by: Rakshith Sathish <[email protected]>
…ils/train_utils.py Co-authored-by: Rakshith Sathish <[email protected]>
Federated GCN for Chest X-ray screening
|
Can one of the admins verify this patch? |
sungmanc
requested changes
Mar 6, 2023
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Submitting training module for federated chest x-ray screening based on the paper titled "Federated Learning for Site Aware Chest Radiograph Screening". (link)
This is part of the project MIRIAD: Many Incarnations of Screening of Radiology for High Throughput Disease Screening via Multiple Instance Reinforcement Learning with Adversarial Deep Neural Networks, sponsored by INTEL TECHNOLOGY INDIA PVT. LTD.
Principal Investigators:
Dr Debdoot Sheet (PI), Dr Nirmalya Ghosh (Co-PI)
Department of Electrical Engineering
Indian Institute of Technology Kharagpur
Dr Ramanathan Sethuraman (Co-PI)
Intel Technology India Pvt. Ltd.