Image retrieval and automatic preliminary diagnosis of chest X-ray radiographs
Principal Investigator
Name
Jogundas Armaitis
Degrees
Ph. D.
Institution
Oxipit, UAB
Position Title
COO
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-360
Initial CDAS Request Approval
Apr 13, 2018
Title
Image retrieval and automatic preliminary diagnosis of chest X-ray radiographs
Summary
In this project, we will develop, improve, and validate/test Deep Learning models using the chest X-ray dataset. These models will be used to create/improve novel radiological tools, intended to assist radiologists and make their chest X-ray workflow more efficient in two ways: (i) enable image retrieval from large datasets by allowing pixel-data-based search, and (ii) offer a preliminary diagnosis, covering most of the pathologies present in a chest X-ray.
Aims
* Develop new Deep Learning models and improve existing Deep Learning models
* Validate and test Deep Learning models
Collaborators
Oxipit, UAB