An automated lung ultrasound workflow for diagnostic assistance in COVID-19 and beyond

Acces sibility Controls

Implementing Organization

Indian Institute of Technology (IIT)

Principal Investigator

Dr Mahesh Raveendranatha Panicker

Assistant Professor

Indian Institute of Technology (IIT)

About

The approach of this study is to analyse Lung ultrasonography (LUS) images over cloud, to score each image according to the severity of infection based on certain reported signatures in literature and to track the progress of infection over different days.

Patents

Achievements

Outcome / Output

LUS has the added advantage of ease of use at point of care, repeatability, absence of radiation exposure, and low cost. A lightweight algorithm based on You look only once version 5 (YOLO5) and single shot detection (SSD) has been developed that has the capability of providing the quality of images based on the identification of various LUS landmarks, prediction of severity of lung infection and possibility of active learning based on the feedback from clinicians.

Publications

Related Research

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Funding Organization

Department of Science and Technology (DST)

Quick Information

Focus Area

COVID-19 Diagnostics

Start Year

2020

End Year

2020

Sanction Amount

₹ NA

Status

Completed

Contact

mahesh@iitpkd.ac.in

Output

No. of Research Paper

Technologies (If Any)

No. of PhD Produced

No. of Patents

Filed : 00

Grant : 00

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Research Projects