Integrating AI into workflow
Principal Investigator
Name
akio iwase
Degrees
PhD
Institution
NucleusHealth
Position Title
VP, Eng and Data Science
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCOI-542
Initial CDAS Request Approval
Nov 4, 2019
Title
Integrating AI into workflow
Summary
Recent advance in the machine learning and specifically deep learning has been remarkably successful in various image classification problems. We propose to investigate the effectiveness of the deep learning technology for chest x-ray classification. Specifically, deep learning network will be designed and trained using the data and will be used to compare with existing data for its effectiveness. It is further proposed to quantify the effectiveness of various nodule characteristics. Correlation with database will be investigated.
Nvidia provided chest x-ray classification algorithm that PLCO data was used to train and validate.
Nvidia provided chest x-ray classification algorithm that PLCO data was used to train and validate.
Aims
The specific aim is to run and verify that performance of the chest x-ray classification algorithms by running with the original data of PLCO.
Collaborators
N/A