Software tool for automated diagnosis of COVID-19 lung infec

Software tool for automated diagnosis of COVID-19 lung infection


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, estimate how much damage has been caused in the lungs by searching for specific abnormal features. Such a tool can provide automated assistance to doctors and therefore help in faster diagnosis and better management of COVID-19, it says.

Related Keywords

Norway , Oslo , Naveen Paluru , Phaneendra Yalavarthy , University Of Agder , Indian Institute Of Science Iisc , Transactions On Neural Networks , Oslo University Hospital , Data Science , Applied Physics , Indian Institute , Neural Networks , Associate Professor , Bengaluru , Anamnet , Software Tool , Covid 19 , Lung Infection , Biisc , நோர்வே , ஒசிலோ , நவீன் பாலுறு , இந்தியன் நிறுவனம் ஆஃப் அறிவியல் இஸ்க் , பரிவர்த்தனைகள் ஆன் நரம்பியல் நெட்வொர்க்குகள் , ஒசிலோ பல்கலைக்கழகம் மருத்துவமனை , தகவல்கள் அறிவியல் , பயன்படுத்தப்பட்டது இயற்பியல் , இந்தியன் நிறுவனம் , நரம்பியல் நெட்வொர்க்குகள் , இணை ப்ரொஃபெஸர் , பெங்களூரு , மென்பொருள் கருவி , நுரையீரல் தொற்று , இஸ்க் ,

© 2025 Vimarsana