IISC-Bengaluru researchers develop software tool to diagnose Covid-19 severity in lungs
February 19, 2021
× Researchers at the Indian Institute of Science (IISc) designed a special tool called ‘AnamNet’ to diagnose the severity of coronavirus infection in patients’ lungs.
The study was carried out by researchers from the Departments of Computational and Data Science (CDS) and Instrumentation and Applied Physics at IISc. They conducted the study in collaboration with colleagues from the Oslo University Hospital and the University of Agder in Norway.
The study was published in the journal IEEE Transactions on Neural Networks and Learning Systems.
To develop this software tool, the researchers employed a unique neural network and deep learning, and other image processing techniques. Their tool finds specific abnormal features and estimates the damage in the lungs and identifies infected areas in a chest CT scan with a high level of accuracy.
Updated Feb 18, 2021 | 13:27 IST
The software tool, developed by the Departments of Computational and Data Science and Instrumentation and Applied Physics at IISc, called AnamNet, can read the chest CT scans of COVID-19 patients. AI-based software tool to aid automated COVID-19 lung infection diagnosis | Photo Credit: Pixabay
Bengaluru: A new software tool that reveals the severity of lung infections in COVID-19 patients has been developed by researchers from the Indian Institute of Science, in collaboration with Oslo University Hospital and the University of Adger in Norway. It has been described in a recent study published in the journal IEEE Transactions on Neural Networks and Learning Systems , Bengaluru-based IISc said in a statement. COVID-19 can cause severe damage to the respiratory systems, especially the lung tissues. Image-based methods such as X-ray or CT scans can prove helpful in determining how bad the infection is, the statement noted
IISc researchers develop AI-based software tool for diagnosis of Covid-19 lung infection
February 17, 2021
Also develop a mobile app for the lightweight software Researchers from the Indian Institute of Science (IISc), in collaboration with colleagues from Oslo University Hospital and the University of Agder in Norway, have developed a software tool that can reveal the severity of lung infections in Covid-19 patients.
The findings were published in the journal
IEEE Transactions on Neural Networks and Learning Systems.
Covid-19 can cause severe damage to the respiratory systems, especially the lung tissues. Image-based methods such as X-ray or CT scans can prove helpful in determining how bad the infection is.
IISc-led team comes up with AnamNet, which is freely available to the public
A new software tool that reveals the severity of lung infections in COVID-19 patients has been developed by researchers from the Departments of Computational and Data Science (CDS) and Instrumentation and Applied Physics at the Indian Institute of Science (IISc), in collaboration with colleagues from the Oslo University Hospital and the University of Agder in Norway.
The software tool, which is freely available to the public, has been described in a recent study published in the journal IEEE Transactions on Neural Networks and Learning Systems.
While it is known that COVID-19 can cause severe damage to the respiratory systems, especially the lung tissues, and methods such as X-ray or CT scans can prove helpful in determining how bad the infection is, an IISc release said the software tool, called AnamNet, can ‘read’ the chest CT scans of COVID-19 patients, and, using a special kind of neural network
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