Develop generative AI models to enhance lung image processing for improved downstream clinical analysis

Principal Investigator

Name
kibrom girum

Degrees
Ph.D.

Institution
Institut Curie

Position Title
Research engineer

Email
kibrom2b@gmail.com

About this CDAS Project

Study
NLST (Learn more about this study)

Project ID
NLST-1164

Initial CDAS Request Approval
Dec 4, 2023

Title
Develop generative AI models to enhance lung image processing for improved downstream clinical analysis

Summary
We aim to investigate and develop generic generative artificial intelligence (AI) models to increase the data size.
It will improve the performance of other downstream medical image processing and thereby enhance the downstream clinical analysis, particularly to solve the current bottleneck of deep learning methods in adapting to different clinical settings or different data centers.

Aims

- Investigate generative AI models
- Develop generative AI models that synthesizes lung medical images
- Improve medical image processing tasks, such as segmentation
- Improve clinical analysis

Collaborators

The project will be conducted under institut Curie for academic research.