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
jogundas@oxipit.ai

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