Deep Learning for Chest X-Ray Radiological Findings Related to Covid-19
Principal Investigator
Name
Bambang Trilaksono
Degrees
Prof., Dr., Ir.
Institution
PT Riset Kecerdasan Buatan
Position Title
Principal Investigator
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCOI-656
Initial CDAS Request Approval
Jul 24, 2020
Title
Deep Learning for Chest X-Ray Radiological Findings Related to Covid-19
Summary
Under the leadership of BPPT Indonesia (Agency of the Assessment and Application of Technology), our team is currently researching ways to improve COVID-19 examination in Indonesia. The main standard of testing used to diagnose Covid-19 is the PCR test. Problem is, PCR Test availability varies between different regions, yet doctors need to determine quickly the right treatment for the patient in question. Our idea is to use Chest X-Ray imaging to help Radiologists or Doctors around Indonesia to detect Radiological Findings related to Covid-19. To develop this application, we would need Chest X-Ray data from around the world.
Aims
Use Deep Learning to read Lung Opacity Findings in Chest X-Ray images, helping Radiologists in examining Chest X-Ray data and to help doctors in diagnosing Covid-19, especially in the absence of PCR Test Kit. (the system itself is not aimed to replace clinical diagnosis, only aiding in it).
Collaborators
Muhammad Aldo Aditiya Nugroho
Dhimas Bintang Kusumawardhana
Christoporus Deo Putratama
Yudi Pratama
Isca Amanda
Saqfi Ahmad Rabbani