COVID-I NET: TOWARDS COMPUTER-AIDED ASSESSMENT OF COVID-19 EFFECT ON LUNG INFECTION SEVERITY VIA DEEP NEURAL NETWORKS FOR CHEST X-RAYS AND CT SCAN IMAGES

• Author(s):

  Rajeshkumar K | Karthikeyan V | Prasanna Venkatesan A | Shanmuganathan M

• Keywords:

  COVID-19, Pneumonia, SegNet, U-NET, PSP-NET, Computerized Tomography, Semantic Segmentation, Image Analysis.

• Abstract:

  COVID-19 Pandemic Is Affecting Numerous Lives All Around The World. Effective Care And Treatment Planning For COVID-19 Infected Patients Are Mandatory. This Infectious Virus Caused By Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) Requires

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Other Details

• Paper id:

  IJSARTV7I649964

• Published in:

  Volume: 7 Issue: 6 June 2021

• Publication Date:

  2021-06-15

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